Awesome
Awesome Decision, Classification, and Regression Tree Research Papers
<p align="center"> <img width="300" src="tree.png"> </p>A curated list of classification and regression tree research papers with implementations from the following conferences:
- Machine learning
- Computer vision
- Natural language processing
- Data
- Artificial intelligence
Similar collections about graph classification, gradient boosting, fraud detection, Monte Carlo tree search, and community detection papers with implementations.
2022
-
Using MaxSAT for Efficient Explanations of Tree Ensembles (AAAI 2022)
- Alexey Ignatiev, Yacine Izza, Peter J. Stuckey, João Marques-Silva
- [Paper]
-
FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles (AAAI 2022)
- Ana Lucic, Harrie Oosterhuis, Hinda Haned, Maarten de Rijke
- [Paper]
-
Explainable and Local Correction of Classification Models Using Decision Trees (AAAI 2022)
- Hirofumi Suzuki, Hiroaki Iwashita, Takuya Takagi, Keisuke Goto, Yuta Fujishige, Satoshi Hara
- [Paper]
-
Robust Optimal Classification Trees against Adversarial Examples (AAAI 2022)
- Daniël Vos, Sicco Verwer
- [Paper]
-
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values (AAAI 2022)
- Haewon Jeong, Hao Wang, Flávio P. Calmon
- [Paper]
-
Fast Sparse Decision Tree Optimization via Reference Ensembles (AAAI 2022)
-
TransBoost: A Boosting-Tree Kernel Transfer Learning Algorithm for Improving Financial Inclusion (AAAI 2022)
-
Counterfactual Explanation Trees: Transparent and Consistent Actionable Recourse with Decision Trees (AISTATS 2022)
- Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike
- [Paper]
-
Accurate Shapley Values for explaining tree-based models (AISTATS 2022)
- Salim I. Amoukou, Tangi Salaün, Nicolas J.-B. Brunel
- [Paper]
-
A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds (AISTATS 2022)
-
Enterprise-Scale Search: Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees (WWW 2022)
- Philip A. Etter, Kai Zhong, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon
- [Paper]
-
MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration (WWW 2022)
- Siguang Huang, Yunli Wang, Lili Mou, Huayue Zhang, Han Zhu, Chuan Yu, Bo Zheng
- [Paper]
-
Rethinking Conversational Recommendations: Is Decision Tree All You Need (CIKM 2022)
- A S. M. Ahsan-Ul-Haque, Hongning Wang
- [Paper]
-
A Neural Tangent Kernel Perspective of Infinite Tree Ensembles (ICLR 2022)
- Ryuichi Kanoh, Mahito Sugiyama
- [Paper]
-
POETREE: Interpretable Policy Learning with Adaptive Decision Trees (ICLR 2022)
- Alizée Pace, Alex Chan, Mihaela van der Schaar
- [Paper]
-
Hierarchical Shrinkage: Improving the accuracy and interpretability of tree-based models (ICML 2022)
- Abhineet Agarwal, Yan Shuo Tan, Omer Ronen, Chandan Singh, Bin Yu
- [Paper]
-
Popular decision tree algorithms are provably noise tolerant (ICML 2022)
- Guy Blanc, Jane Lange, Ali Malik, Li-Yang Tan
- [Paper]
-
Robust Counterfactual Explanations for Tree-Based Ensembles (ICML 2022)
- Sanghamitra Dutta, Jason Long, Saumitra Mishra, Cecilia Tilli, Daniele Magazzeni
- [Paper]
-
Fast Provably Robust Decision Trees and Boosting (ICML 2022)
- Jun-Qi Guo, Ming-Zhuo Teng, Wei Gao, Zhi-Hua Zhou
- [Paper]
-
BAMDT: Bayesian Additive Semi-Multivariate Decision Trees for Nonparametric Regression (ICML 2022)
- Zhao Tang Luo, Huiyan Sang, Bani K. Mallick
- [Paper]
-
Quant-BnB: A Scalable Branch-and-Bound Method for Optimal Decision Trees with Continuous Features (ICML 2022)
- Rahul Mazumder, Xiang Meng, Haoyue Wang
- [Paper]
-
A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources (ICML 2022)
- Xiaoqing Tan, Chung-Chou H. Chang, Ling Zhou, Lu Tang
- [Paper]
-
On Preferred Abductive Explanations for Decision Trees and Random Forests (IJCAI 2022)
- Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis
- [Paper]
-
Extending Decision Tree to Handle Multiple Fairness Criteria (IJCAI 2022)
- Alessandro Castelnovo
- [Paper]
-
Flexible Modeling and Multitask Learning using Differentiable Tree Ensembles (KDD 2022)
- Shibal Ibrahim, Hussein Hazimeh, Rahul Mazumder
- [Paper]
-
Integrity Authentication in Tree Models (KDD 2022)
- Weijie Zhao, Yingjie Lao, Ping Li
- [Paper]
-
Retrieval-Based Gradient Boosting Decision Trees for Disease Risk Assessment (KDD 2022)
- Handong Ma, Jiahang Cao, Yuchen Fang, Weinan Zhang, Wenbo Sheng, Shaodian Zhang, Yong Yu
- [Paper]
-
Improved feature importance computation for tree models based on the Banzhaf value (UAI 2022)
- Adam Karczmarz, Tomasz Michalak, Anish Mukherjee, Piotr Sankowski, Piotr Wygocki
- [Paper]
-
Learning linear non-Gaussian polytree models (UAI 2022)
- Daniele Tramontano, Anthea Monod, Mathias Drton
- [Paper]
2021
-
Online Probabilistic Label Trees (AISTATS 2021)
-
Optimal Decision Trees for Nonlinear Metrics (AAAI 2021)
- Emir Demirovic, Peter J. Stuckey
- [Paper]
-
SAT-based Decision Tree Learning for Large Data Sets (AAAI 2021)
- André Schidler, Stefan Szeider
- [Paper]
-
Parameterized Complexity of Small Decision Tree Learning (AAAI 2021)
- Sebastian Ordyniak, Stefan Szeider
- [Paper]
-
Counterfactual Explanations for Oblique Decision Trees: Exact - Efficient Algorithms (AAAI 2021)
- Miguel Á. Carreira-Perpiñán, Suryabhan Singh Hada
- [Paper]
-
Geometric Heuristics for Transfer Learning in Decision Trees (CIKM 2021)
- Siddhesh Chaubal, Mateusz Rzepecki, Patrick K. Nicholson, Guangyuan Piao, Alessandra Sala
- [Paper]
-
Fairness-Aware Training of Decision Trees by Abstract Interpretation (CIKM 2021)
- Francesco Ranzato, Caterina Urban, Marco Zanella
- [Paper]
-
Enabling Efficiency-Precision Trade-offs for Label Trees in Extreme Classification (CIKM 2021)
- Tavor Z. Baharav, Daniel L. Jiang, Kedarnath Kolluri, Sujay Sanghavi, Inderjit S. Dhillon
- [Paper]
-
Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees (ICLR 2021)
- Zhen Qin, Le Yan, Honglei Zhuang, Yi Tay, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky, Marc Najork
- [Paper]
-
NBDT: Neural-Backed Decision Tree (ICLR 2021)
- Alvin Wan, Lisa Dunlap, Daniel Ho, Jihan Yin, Scott Lee, Suzanne Petryk, Sarah Adel Bargal, Joseph E. Gonzalez
- [Paper]
-
Versatile Verification of Tree Ensembles (ICML 2021)
- Laurens Devos, Wannes Meert, Jesse Davis
- [Paper]
-
Connecting Interpretability and Robustness in Decision Trees through Separation (ICML 2021)
- Michal Moshkovitz, Yao-Yuan Yang, Kamalika Chaudhuri
- [Paper]
-
Optimal Counterfactual Explanations in Tree Ensembles (ICML 2021)
- Axel Parmentier, Thibaut Vidal
- [Paper]
-
Efficient Training of Robust Decision Trees Against Adversarial Examples (ICML 2021)
- Daniël Vos, Sicco Verwer
- [Paper]
-
Learning Binary Decision Trees by Argmin Differentiation (ICML 2021)
- Valentina Zantedeschi, Matt J. Kusner, Vlad Niculae
- [Paper]
-
BLOCKSET (Block-Aligned Serialized Trees): Reducing Inference Latency for Tree ensemble Deployment (KDD 2021)
- Meghana Madhyastha, Kunal Lillaney, James Browne, Joshua T. Vogelstein, Randal Burns
- [Paper]
-
ControlBurn: Feature Selection by Sparse Forests (KDD 2021)
- Brian Liu, Miaolan Xie, Madeleine Udell
- [Paper]
-
Probabilistic Gradient Boosting Machines for Large-Scale Probabilistic Regression (KDD 2021)
- Olivier Sprangers, Sebastian Schelter, Maarten de Rijke
- [Paper]
-
Verifying Tree Ensembles by Reasoning about Potential Instances (SDM 2021)
- Laurens Devos, Wannes Meert, Jesse Davis
- [Paper]
2020
-
DTCA: Decision Tree-based Co-Attention Networks for Explainable Claim Verification (ACL 2020)
- Lianwei Wu, Yuan Rao, Yongqiang Zhao, Hao Liang, Ambreen Nazir
- [Paper]
-
Privacy-Preserving Gradient Boosting Decision Trees (AAAI 2020)
- Qinbin Li, Zhaomin Wu, Zeyi Wen, Bingsheng He
- [Paper]
-
Practical Federated Gradient Boosting Decision Trees (AAAI 2020)
- Qinbin Li, Zeyi Wen, Bingsheng He
- [Paper]
-
Efficient Inference of Optimal Decision Trees (AAAI 2020)
-
Learning Optimal Decision Trees Using Caching Branch-and-Bound Search (AAAI 2020)
-
Abstract Interpretation of Decision Tree Ensemble Classifiers (AAAI 2020)
-
Scalable Feature Selection for (Multitask) Gradient Boosted Trees (AISTATS 2020)
- Cuize Han, Nikhil Rao, Daria Sorokina, Karthik Subbian
- [Paper]
-
Optimization Methods for Interpretable Differentiable Decision Trees Applied to Reinforcement Learning (AISTATS 2020)
- Andrew Silva, Matthew C. Gombolay, Taylor W. Killian, Ivan Dario Jimenez Jimenez, Sung-Hyun Son
- [Paper]
-
Exploiting Categorical Structure Using Tree-Based Methods (AISTATS 2020)
- Brian Lucena
- [Paper]
-
LdSM: Logarithm-depth Streaming Multi-label Decision Trees (AISTATS 2020)
- Maryam Majzoubi, Anna Choromanska
- [Paper]
-
Oblique Decision Trees from Derivatives of ReLU Networks (ICLR 2020)
-
Provable Guarantees for Decision Tree Induction: the Agnostic Setting (ICML 2020)
- Guy Blanc, Jane Lange, Li-Yang Tan
- [Paper]
-
Decision Trees for Decision-Making under the Predict-then-Optimize Framework (ICML 2020)
- Adam N. Elmachtoub, Jason Cheuk Nam Liang, Ryan McNellis
- [Paper]
-
The Tree Ensemble Layer: Differentiability meets Conditional Computation (ICML 2020)
-
Generalized and Scalable Optimal Sparse Decision Trees (ICML 2020)
-
Born-Again Tree Ensembles (ICML 2020)
-
On Lp-norm Robustness of Ensemble Decision Stumps and Trees (ICML 2020)
- Yihan Wang, Huan Zhang, Hongge Chen, Duane S. Boning, Cho-Jui Hsieh
- [Paper]
-
Smaller, More Accurate Regression Forests Using Tree Alternating Optimization (ICML 2020)
- Arman Zharmagambetov, Miguel Á. Carreira-Perpinan
- [Paper]
-
Learning Optimal Decision Trees with MaxSAT and its Integration in AdaBoost (IJCAI 2020)
- Hao Hu, Mohamed Siala, Emmanuel Hebrard, Marie-José Huguet
- [Paper]
-
Speeding up Very Fast Decision Tree with Low Computational Cost (IJCAI 2020)
- Jian Sun, Hongyu Jia, Bo Hu, Xiao Huang, Hao Zhang, Hai Wan, Xibin Zhao
- [Paper]
-
PyDL8.5: a Library for Learning Optimal Decision Trees (IJCAI 2020)
-
Geodesic Forests (KDD 2020)
- Meghana Madhyastha, Gongkai Li, Veronika Strnadova-Neeley, James Browne, Joshua T. Vogelstein, Randal Burns
- [Paper]
-
A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees (NeurIPS 2020)
- Haoran Zhu, Pavankumar Murali, Dzung T. Phan, Lam M. Nguyen, Jayant Kalagnanam
- [Paper]
-
Estimating Decision Tree Learnability with Polylogarithmic Sample Complexity (NeurIPS 2020)
- Guy Blanc, Neha Gupta, Jane Lange, Li-Yang Tan
- [Paper]
-
Universal Guarantees for Decision Tree Induction via a Higher-Order Splitting Criterion (NeurIPS 2020)
- Guy Blanc, Neha Gupta, Jane Lange, Li-Yang Tan
- [Paper]
-
Smooth And Consistent Probabilistic Regression Trees (NeurIPS 2020)
- Sami Alkhoury, Emilie Devijver, Marianne Clausel, Myriam Tami, Éric Gaussier, Georges Oppenheim
- [Paper]
-
An Efficient Adversarial Attack for Tree Ensembles (NeurIPS 2020)
-
Decision Trees as Partitioning Machines to Characterize their Generalization Properties (NeurIPS 2020)
- Jean-Samuel Leboeuf, Frédéric Leblanc, Mario Marchand
- [Paper]
-
Evidence Weighted Tree Ensembles for Text Classification (SIGIR 2020)
- Md. Zahidul Islam, Jixue Liu, Jiuyong Li, Lin Liu, Wei Kang
- [Paper]
2019
-
Multi Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System (AAAI 2019)
- Hong Wen, Jing Zhang, Quan Lin, Keping Yang, Pipei Huang
- [Paper]
-
Induction of Non-Monotonic Logic Programs to Explain Boosted Tree Models Using LIME (AAAI 2019)
- Farhad Shakerin, Gopal Gupta
- [Paper]
-
Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making (AAAI 2019)
- Sina Aghaei, Mohammad Javad Azizi, Phebe Vayanos
- [Paper]
-
Desiderata for Interpretability: Explaining Decision Tree Predictions with Counterfactuals (AAAI 2019)
- Kacper Sokol, Peter A. Flach
- [Paper]
-
Weighted Oblique Decision Trees (AAAI 2019)
- Bin-Bin Yang, Song-Qing Shen, Wei Gao
- [Paper]
-
Learning Optimal Classification Trees Using a Binary Linear Program Formulation (AAAI 2019)
- Sicco Verwer, Yingqian Zhang
- [Paper]
-
Optimization of Hierarchical Regression Model with Application to Optimizing Multi-Response Regression K-ary Trees (AAAI 2019)
- Pooya Tavallali, Peyman Tavallali, Mukesh Singhal
- [Paper]
-
XBART: Accelerated Bayesian Additive Regression Trees (AISTATS 2019)
- Jingyu He, Saar Yalov, P. Richard Hahn
- [Paper]
-
Interaction Detection with Bayesian Decision Tree Ensembles (AISTATS 2019)
- Junliang Du, Antonio R. Linero
- [Paper]
-
Adversarial Training of Gradient-Boosted Decision Trees (CIKM 2019)
- Stefano Calzavara, Claudio Lucchese, Gabriele Tolomei
- [Paper]
-
Interpretable MTL from Heterogeneous Domains using Boosted Tree (CIKM 2019)
- Ya-Lin Zhang, Longfei Li
- [Paper]
-
Interpreting CNNs via Decision Trees (CVPR 2019)
- Quanshi Zhang, Yu Yang, Haotian Ma, Ying Nian Wu
- [Paper]
-
EDiT: Interpreting Ensemble Models via Compact Soft Decision Trees (ICDM 2019)
-
Fair Adversarial Gradient Tree Boosting (ICDM 2019)
- Vincent Grari, Boris Ruf, Sylvain Lamprier, Marcin Detyniecki
- [Paper]
-
Functional Transparency for Structured Data: a Game-Theoretic Approach (ICML 2019)
- Guang-He Lee, Wengong Jin, David Alvarez-Melis, Tommi S. Jaakkola
- [Paper]
-
Incorporating Grouping Information into Bayesian Decision Tree Ensembles (ICML 2019)
- Junliang Du, Antonio R. Linero
- [Paper]
-
Adaptive Neural Trees (ICML 2019)
-
Robust Decision Trees Against Adversarial Examples (ICML 2019)
-
Learn Smart with Less: Building Better Online Decision Trees with Fewer Training Examples (IJCAI 2019)
- Ariyam Das, Jin Wang, Sahil M. Gandhi, Jae Lee, Wei Wang, Carlo Zaniolo
- [Paper]
-
FAHT: An Adaptive Fairness-aware Decision Tree Classifier (IJCAI 2019)
-
Inter-node Hellinger Distance based Decision Tree (IJCAI 2019)
- Pritom Saha Akash, Md. Eusha Kadir, Amin Ahsan Ali, Mohammad Shoyaib
- [Paper]
- [Matlab Code]
- [R Code]
-
Gradient Boosting with Piece-Wise Linear Regression Trees (IJCAI 2019)
-
A Gradient-Based Split Criterion for Highly Accurate and Transparent Model Trees (IJCAI 2019)
- Klaus Broelemann, Gjergji Kasneci
- [Paper]
-
Combining Decision Trees and Neural Networks for Learning-to-Rank in Personal Search (KDD 2019)
- Pan Li, Zhen Qin, Xuanhui Wang, Donald Metzler
- [Paper]
-
Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers (NeurIPS 2019)
-
Partitioning Structure Learning for Segmented Linear Regression Trees (NeurIPS 2019)
- Xiangyu Zheng, Song Xi Chen
- [Paper]
-
Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks (NeurIPS 2019)
-
Optimal Decision Tree with Noisy Outcomes (NeurIPS 2019)
-
Regularized Gradient Boosting (NeurIPS 2019)
- Corinna Cortes, Mehryar Mohri, Dmitry Storcheus
- [Paper]
-
Optimal Sparse Decision Trees (NeurIPS 2019)
-
MonoForest framework for tree ensemble analysis (NeurIPS 2019)
-
Calibrating Probability Estimation Trees using Venn-Abers Predictors (SDM 2019)
- Ulf Johansson, Tuwe Löfström, Henrik Boström
- [Paper]
-
Fast Training for Large-Scale One-versus-All Linear Classifiers using Tree-Structured Initialization (SDM 2019)
- Huang Fang, Minhao Cheng, Cho-Jui Hsieh, Michael P. Friedlander
- [Paper]
-
Forest Packing: Fast Parallel, Decision Forests (SDM 2019)
- James Browne, Disa Mhembere, Tyler M. Tomita, Joshua T. Vogelstein, Randal Burns
- [Paper]
-
Block-distributed Gradient Boosted Trees (SIGIR 2019)
- Theodore Vasiloudis, Hyunsu Cho, Henrik Boström
- [Paper]
-
Entity Personalized Talent Search Models with Tree Interaction Features (WWW 2019)
- Cagri Ozcaglar, Sahin Cem Geyik, Brian Schmitz, Prakhar Sharma, Alex Shelkovnykov, Yiming Ma, Erik Buchanan
- [Paper]
2018
-
Adapting to Concept Drift in Credit Card Transaction Data Streams Using Contextual Bandits and Decision Trees (AAAI 2018)
- Dennis J. N. J. Soemers, Tim Brys, Kurt Driessens, Mark H. M. Winands, Ann Nowé
- [Paper]
-
MERCS: Multi-Directional Ensembles of Regression and Classification Trees (AAAI 2018)
-
Differential Performance Debugging With Discriminant Regression Trees (AAAI 2018)
-
Estimating the Class Prior in Positive and Unlabeled Data Through Decision Tree Induction (AAAI 2018)
- Jessa Bekker, Jesse Davis
- [Paper]
-
MDP-Based Cost Sensitive Classification Using Decision Trees (AAAI 2018)
- Shlomi Maliah, Guy Shani
- [Paper]
-
Generative Adversarial Image Synthesis With Decision Tree Latent Controller (CVPR 2018)
-
Enhancing Very Fast Decision Trees with Local Split-Time Predictions (ICDM 2018)
-
Realization of Random Forest for Real-Time Evaluation through Tree Framing (ICDM 2018)
- Sebastian Buschjäger, Kuan-Hsun Chen, Jian-Jia Chen, Katharina Morik
- [Paper]
-
Finding Influential Training Samples for Gradient Boosted Decision Trees (ICML 2018)
-
Learning Optimal Decision Trees with SAT (IJCAI 2018)
- Nina Narodytska, Alexey Ignatiev, Filipe Pereira, João Marques-Silva
- [Paper]
-
Extremely Fast Decision Tree (KDD 2018)
-
RapidScorer: Fast Tree Ensemble Evaluation by Maximizing Compactness in Data Level Parallelization (KDD 2018)
- Ting Ye, Hucheng Zhou, Will Y. Zou, Bin Gao, Ruofei Zhang
- [Paper]
-
CatBoost: Unbiased Boosting with Categorical Features (NIPS 2018)
-
Active Learning for Non-Parametric Regression Using Purely Random Trees (NIPS 2018)
- Jack Goetz, Ambuj Tewari, Paul Zimmerman
- [Paper]
-
Alternating Optimization of Decision Trees with Application to Learning Sparse Oblique Trees (NIPS 2018)
- Miguel Á. Carreira-Perpiñán, Pooya Tavallali
- [Paper]
-
Multi-Layered Gradient Boosting Decision Trees (NIPS 2018)
-
Transparent Tree Ensembles (SIGIR 2018)
- Alexander Moore, Vanessa Murdock, Yaxiong Cai, Kristine Jones
- [Paper]
-
Privacy-aware Ranking with Tree Ensembles on the Cloud (SIGIR 2018)
- Shiyu Ji, Jinjin Shao, Daniel Agun, Tao Yang
- [Paper]
2017
-
Strategic Sequences of Arguments for Persuasion Using Decision Trees (AAAI 2017)
- Emmanuel Hadoux, Anthony Hunter
- [Paper]
-
BoostVHT: Boosting Distributed Streaming Decision Trees (CIKM 2017)
- Theodore Vasiloudis, Foteini Beligianni, Gianmarco De Francisci Morales
- [Paper]
-
Latency Reduction via Decision Tree Based Query Construction (CIKM 2017)
- Aman Grover, Dhruv Arya, Ganesh Venkataraman
- [Paper]
-
Enumerating Distinct Decision Trees (ICML 2017)
- Salvatore Ruggieri
- [Paper]
-
Gradient Boosted Decision Trees for High Dimensional Sparse Output (ICML 2017)
-
Consistent Feature Attribution for Tree Ensembles (ICML 2017)
-
Extremely Fast Decision Tree Mining for Evolving Data Streams (KDD 2017)
- Albert Bifet, Jiajin Zhang, Wei Fan, Cheng He, Jianfeng Zhang, Jianfeng Qian, Geoff Holmes, Bernhard Pfahringer
- [Paper]
-
CatBoost: Gradient Boosting with Categorical Features Support (NIPS 2017)
-
LightGBM: A Highly Efficient Gradient Boosting Decision Tree (NIPS 2017)
-
Variable Importance Using Decision Trees (NIPS 2017)
- Jalil Kazemitabar, Arash Amini, Adam Bloniarz, Ameet S. Talwalkar
- [Paper]
-
A Unified Approach to Interpreting Model Predictions (NIPS 2017)
-
Pruning Decision Trees via Max-Heap Projection (SDM 2017)
- Zhi Nie, Binbin Lin, Shuai Huang, Naren Ramakrishnan, Wei Fan, Jieping Ye
- [Paper]
-
A Practical Method for Solving Contextual Bandit Problems Using Decision Trees (UAI 2017)
- Adam N. Elmachtoub, Ryan McNellis, Sechan Oh, Marek Petrik
- [Paper]
-
Complexity of Solving Decision Trees with Skew-Symmetric Bilinear Utility (UAI 2017)
- Hugo Gilbert, Olivier Spanjaard
- [Paper]
-
GB-CENT: Gradient Boosted Categorical Embedding and Numerical Trees (WWW 2017)
- Qian Zhao, Yue Shi, Liangjie Hong
- [Paper]
2016
-
Sparse Perceptron Decision Tree for Millions of Dimensions (AAAI 2016)
- Weiwei Liu, Ivor W. Tsang
- [Paper]
-
Learning Online Smooth Predictors for Realtime Camera Planning Using Recurrent Decision Trees (CVPR 2016)
- Jianhui Chen, Hoang Minh Le, Peter Carr, Yisong Yue, James J. Little
- [Paper]
-
Online Learning with Bayesian Classification Trees (CVPR 2016)
- Samuel Rota Bulò, Peter Kontschieder
- [Paper]
-
Accurate Robust and Efficient Error Estimation for Decision Trees (ICML 2016)
- Lixin Fan
- [Paper]
-
Meta-Gradient Boosted Decision Tree Model for Weight and Target Learning (ICML 2016)
- Yury Ustinovskiy, Valentina Fedorova, Gleb Gusev, Pavel Serdyukov
- [Paper]
-
Boosted Decision Tree Regression Adjustment for Variance Reduction in Online Controlled Experiments (KDD 2016)
- Alexey Poyarkov, Alexey Drutsa, Andrey Khalyavin, Gleb Gusev, Pavel Serdyukov
- [Paper]
-
XGBoost: A Scalable Tree Boosting System (KDD 2016)
-
Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale (NIPS 2016)
- Firas Abuzaid, Joseph K. Bradley, Feynman T. Liang, Andrew Feng, Lee Yang, Matei Zaharia, Ameet S. Talwalkar
- [Paper]
-
A Communication-Efficient Parallel Algorithm for Decision Tree (NIPS 2016)
-
Exploiting CPU SIMD Extensions to Speed-up Document Scoring with Tree Ensembles (SIGIR 2016)
-
Post-Learning Optimization of Tree Ensembles for Efficient Ranking (SIGIR 2016)
2015
-
Particle Gibbs for Bayesian Additive Regression Trees (AISTATS 2015)
- Balaji Lakshminarayanan, Daniel M. Roy, Yee Whye Teh
- [Paper]
-
DART: Dropouts Meet Multiple Additive Regression Trees (AISTATS 2015)
-
Single Target Tracking Using Adaptive Clustered Decision Trees and Dynamic Multi-level Appearance Models (CVPR 2015)
- Jingjing Xiao, Rustam Stolkin, Ales Leonardis
- [Paper]
-
Face Alignment Using Cascade Gaussian Process Regression Trees (CVPR 2015)
-
Tracking-by-Segmentation with Online Gradient Boosting Decision Tree (ICCV 2015)
- Jeany Son, Ilchae Jung, Kayoung Park, Bohyung Han
- [Paper]
-
Entropy Evaluation Based on Confidence Intervals of Frequency Estimates : Application to the Learning of Decision Trees (ICML 2015)
- Mathieu Serrurier, Henri Prade
- [Paper]
-
Large-scale Distributed Dependent Nonparametric Trees (ICML 2015)
- Zhiting Hu, Qirong Ho, Avinava Dubey, Eric P. Xing
- [Paper]
-
Optimal Action Extraction for Random Forests and Boosted Trees (KDD 2015)
- Zhicheng Cui, Wenlin Chen, Yujie He, Yixin Chen
- [Paper]
-
A Decision Tree Framework for Spatiotemporal Sequence Prediction (KDD 2015)
- Taehwan Kim, Yisong Yue, Sarah L. Taylor, Iain A. Matthews
- [Paper]
-
Efficient Non-greedy Optimization of Decision Trees (NIPS 2015)
- Mohammad Norouzi, Maxwell D. Collins, Matthew Johnson, David J. Fleet, Pushmeet Kohli
- [Paper]
-
QuickScorer: A Fast Algorithm to Rank Documents with Additive Ensembles of Regression Trees (SIGIR 2015)
2014
-
A Mixtures-of-Trees Framework for Multi-Label Classification (CIKM 2014)
- Charmgil Hong, Iyad Batal, Milos Hauskrecht
- [Paper]
-
On Building Decision Trees from Large-scale Data in Applications of On-line Advertising (CIKM 2014)
- Shivaram Kalyanakrishnan, Deepthi Singh, Ravi Kant
- [Paper]
-
Fast Supervised Hashing with Decision Trees for High-Dimensional Data (CVPR 2014)
- Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, David Suter
- [Paper]
-
One Millisecond Face Alignment with an Ensemble of Regression Trees (CVPR 2014)
- Vahid Kazemi, Josephine Sullivan
- [Paper]
-
The return of AdaBoost.MH: multi-class Hamming trees (ICLR 2014)
- Balázs Kégl
- [Paper]
-
Diagnosis Determination: Decision Trees Optimizing Simultaneously Worst and Expected Testing Cost (ICML 2014)
- Ferdinando Cicalese, Eduardo Sany Laber, Aline Medeiros Saettler
- [Paper]
-
Learning Multiple-Question Decision Trees for Cold-Start Recommendation (WSDM 2013)
- Mingxuan Sun, Fuxin Li, Joonseok Lee, Ke Zhou, Guy Lebanon, Hongyuan Zha
- [Paper]
2013
-
Weakly Supervised Learning of Image Partitioning Using Decision Trees with Structured Split Criteria (ICCV 2013)
- Christoph N. Straehle, Ullrich Köthe, Fred A. Hamprecht
- [Paper]
-
Revisiting Example Dependent Cost-Sensitive Learning with Decision Trees (ICCV 2013)
- Oisin Mac Aodha, Gabriel J. Brostow
- [Paper]
-
Conformal Prediction Using Decision Trees (ICDM 2013)
- Ulf Johansson, Henrik Boström, Tuve Löfström
- [Paper]
-
Focal-Test-Based Spatial Decision Tree Learning: A Summary of Results (ICDM 2013)
- Zhe Jiang, Shashi Shekhar, Xun Zhou, Joseph K. Knight, Jennifer Corcoran
- [Paper]
-
Top-down Particle Filtering for Bayesian Decision Trees (ICML 2013)
- Balaji Lakshminarayanan, Daniel M. Roy, Yee Whye Teh
- [Paper]
-
Quickly Boosting Decision Trees - Pruning Underachieving Features Early (ICML 2013)
- Ron Appel, Thomas J. Fuchs, Piotr Dollár, Pietro Perona
- [Paper]
-
Knowledge Compilation for Model Counting: Affine Decision Trees (IJCAI 2013)
- Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis, Samuel Thomas
- [Paper]
-
Understanding Variable Importances in Forests of Randomized Trees (NIPS 2013)
- Gilles Louppe, Louis Wehenkel, Antonio Sutera, Pierre Geurts
- [Paper]
-
Regression-tree Tuning in a Streaming Setting (NIPS 2013)
- Samory Kpotufe, Francesco Orabona
- [Paper]
-
Learning Max-Margin Tree Predictors (UAI 2013)
- Ofer Meshi, Elad Eban, Gal Elidan, Amir Globerson
- [Paper]
2012
-
Regression Tree Fields - An Efficient, Non-parametric Approach to Image Labeling Problems (CVPR 2012)
- Jeremy Jancsary, Sebastian Nowozin, Toby Sharp, Carsten Rother
- [Paper]
-
ConfDTree: Improving Decision Trees Using Confidence Intervals (ICDM 2012)
- Gilad Katz, Asaf Shabtai, Lior Rokach, Nir Ofek
- [Paper]
-
Improved Information Gain Estimates for Decision Tree Induction (ICML 2012)
- Sebastian Nowozin
- [Paper]
-
Learning Partially Observable Models Using Temporally Abstract Decision Trees (NIPS 2012)
- Erik Talvitie
- [Paper]
-
Subtree Replacement in Decision Tree Simplification (SDM 2012)
- Salvatore Ruggieri
- [Paper]
2011
-
Incorporating Boosted Regression Trees into Ecological Latent Variable Models (AAAI 2011)
- Rebecca A. Hutchinson, Li-Ping Liu, Thomas G. Dietterich
- [Paper]
-
Syntactic Decision Tree LMs: Random Selection or Intelligent Design (EMNLP 2011)
- Denis Filimonov, Mary P. Harper
- [Paper]
-
Decision Tree Fields (ICCV 2011)
- Sebastian Nowozin, Carsten Rother, Shai Bagon, Toby Sharp, Bangpeng Yao, Pushmeet Kohli
- [Paper]
-
Confidence in Predictions from Random Tree Ensembles (ICDM 2011)
- Siddhartha Bhattacharyya
- [Paper]
-
Speeding-Up Hoeffding-Based Regression Trees With Options (ICML 2011)
- Elena Ikonomovska, João Gama, Bernard Zenko, Saso Dzeroski
- [Paper]
-
Density Estimation Trees (KDD 2011)
- Parikshit Ram, Alexander G. Gray
- [Paper]
-
Bagging Gradient-Boosted Trees for High Precision, Low Variance Ranking Models (SIGIR 2011)
- Yasser Ganjisaffar, Rich Caruana, Cristina Videira Lopes
- [Paper]
-
On the Complexity of Decision Making in Possibilistic Decision Trees (UAI 2011)
- Hélène Fargier, Nahla Ben Amor, Wided Guezguez
- [Paper]
-
Adaptive Bootstrapping of Recommender Systems Using Decision Trees (WSDM 2011)
- Nadav Golbandi, Yehuda Koren, Ronny Lempel
- [Paper]
-
Parallel Boosted Regression Trees for Web Search Ranking (WWW 2011)
- Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal, Jennifer Paykin
- [Paper]
2010
-
Discrimination Aware Decision Tree Learning (ICDM 2010)
- Faisal Kamiran, Toon Calders, Mykola Pechenizkiy
- [Paper]
-
Decision Trees for Uplift Modeling (ICDM 2010)
- Piotr Rzepakowski, Szymon Jaroszewicz
- [Paper]
-
Learning Markov Network Structure with Decision Trees (ICDM 2010)
- Daniel Lowd, Jesse Davis
- [Paper]
-
Multivariate Dyadic Regression Trees for Sparse Learning Problems (NIPS 2010)
- Han Liu, Xi Chen
- [Paper]
-
Fast and Accurate Gene Prediction by Decision Tree Classification (SDM 2010)
- Rong She, Jeffrey Shih-Chieh Chu, Ke Wang, Nansheng Chen
- [Paper]
-
A Robust Decision Tree Algorithm for Imbalanced Data Sets (SDM 2010)
- Wei Liu, Sanjay Chawla, David A. Cieslak, Nitesh V. Chawla
- [Paper]
2009
-
Stochastic Gradient Boosted Distributed Decision Trees (CIKM 2009)
- Jerry Ye, Jyh-Herng Chow, Jiang Chen, Zhaohui Zheng
- [Paper]
-
Feature Selection for Ranking Using Boosted Trees (CIKM 2009)
- Feng Pan, Tim Converse, David Ahn, Franco Salvetti, Gianluca Donato
- [Paper]
-
Thai Word Segmentation with Hidden Markov Model and Decision Tree (PAKDD 2009)
- Poramin Bheganan, Richi Nayak, Yue Xu
- [Paper]
-
Parameter Estimdation in Semi-Random Decision Tree Ensembling on Streaming Data (PAKDD 2009)
- Pei-Pei Li, Qianhui Liang, Xindong Wu, Xuegang Hu
- [Paper]
-
DTU: A Decision Tree for Uncertain Data (PAKDD 2009)
- Biao Qin, Yuni Xia, Fang Li
- [Paper]
2008
-
Predicting Future Decision Trees from Evolving Data (ICDM 2008)
- Mirko Böttcher, Martin Spott, Rudolf Kruse
- [Paper]
-
Bayes Optimal Classification for Decision Trees (ICML 2008)
- Siegfried Nijssen
- [Paper]
-
A New Credit Scoring Method Based on Rough Sets and Decision Tree (PAKDD 2008)
- XiYue Zhou, Defu Zhang, Yi Jiang
- [Paper]
-
A Comparison of Different Off-Centered Entropies to Deal with Class Imbalance for Decision Trees (PAKDD 2008)
- Philippe Lenca, Stéphane Lallich, Thanh-Nghi Do, Nguyen-Khang Pham
- [Paper]
-
BOAI: Fast Alternating Decision Tree Induction Based on Bottom-Up Evaluation (PAKDD 2008)
- Bishan Yang, Tengjiao Wang, Dongqing Yang, Lei Chang
- [Paper]
-
A General Framework for Estimating Similarity of Datasets and Decision Trees: Exploring Semantic Similarity of Decision Trees (SDM 2008)
- Irene Ntoutsi, Alexandros Kalousis, Yannis Theodoridis
- [Paper]
-
ROC-tree: A Novel Decision Tree Induction Algorithm Based on Receiver Operating Characteristics to Classify Gene Expression Data (SDM 2008)
- M. Maruf Hossain, Md. Rafiul Hassan, James Bailey
- [Paper]
2007
-
Tree-based Classifiers for Bilayer Video Segmentation (CVPR 2007)
- Pei Yin, Antonio Criminisi, John M. Winn, Irfan A. Essa
- [Paper]
-
Additive Groves of Regression Trees (ECML 2007)
- Daria Sorokina, Rich Caruana, Mirek Riedewald
- [Paper]
-
Decision Tree Instability and Active Learning (ECML 2007)
- Kenneth Dwyer, Robert Holte
- [Paper]
-
Ensembles of Multi-Objective Decision Trees (ECML 2007)
- Dragi Kocev, Celine Vens, Jan Struyf, Saso Dzeroski
- [Paper]
-
Seeing the Forest Through the Trees: Learning a Comprehensible Model from an Ensemble (ECML 2007)
- Anneleen Van Assche, Hendrik Blockeel
- [Paper]
-
Sample Compression Bounds for Decision Trees (ICML 2007)
- Mohak Shah
- [Paper]
-
A Tighter Error Bound for Decision Tree Learning Using PAC Learnability (IJCAI 2007)
- Chaithanya Pichuka, Raju S. Bapi, Chakravarthy Bhagvati, Arun K. Pujari, Bulusu Lakshmana Deekshatulu
- [Paper]
-
Keep the Decision Tree and Estimate the Class Probabilities Using its Decision Boundary (IJCAI 2007)
- Isabelle Alvarez, Stephan Bernard, Guillaume Deffuant
- [Paper]
-
Real Boosting a la Carte with an Application to Boosting Oblique Decision Tree (IJCAI 2007)
- Claudia Henry, Richard Nock, Frank Nielsen
- [Paper]
-
Scalable Look-ahead Linear Regression Trees (KDD 2007)
- David S. Vogel, Ognian Asparouhov, Tobias Scheffer
- [Paper]
-
Mining Optimal Decision Trees from Itemset Lattices (KDD 2007)
- Siegfried Nijssen, Élisa Fromont
- [Paper]
-
A Hybrid Multi-group Privacy-Preserving Approach for Building Decision Trees (PAKDD 2007)
- Zhouxuan Teng, Wenliang Du
- [Paper]
2006
-
Decision Tree Methods for Finding Reusable MDP Homomorphisms (AAAI 2006)
- Alicia P. Wolfe, Andrew G. Barto
- [Paper]
-
A Fast Decision Tree Learning Algorithm (AAAI 2006)
- Jiang Su, Harry Zhang
- [Paper]
-
Anytime Induction of Decision Trees: An Iterative Improvement Approach (AAAI 2006)
- Saher Esmeir, Shaul Markovitch
- [Paper]
-
When a Decision Tree Learner Has Plenty of Time (AAAI 2006)
- Saher Esmeir, Shaul Markovitch
- [Paper]
-
Decision Trees for Functional Variables (ICDM 2006)
- Suhrid Balakrishnan, David Madigan
- [Paper]
-
Cost-Sensitive Decision Tree Learning for Forensic Classification (ECML 2006)
- Jason V. Davis, Jungwoo Ha, Christopher J. Rossbach, Hany E. Ramadan, Emmett Witchel
- [Paper]
-
Improving the Ranking Performance of Decision Trees (ECML 2006)
- Bin Wang, Harry Zhang
- [Paper]
-
A General Framework for Accurate and Fast Regression by Data Summarization in Random Decision Trees (KDD 2006)
- Wei Fan, Joe McCloskey, Philip S. Yu
- [Paper]
-
Constructing Decision Trees for Graph-Structured Data by Chunkingless Graph-Based Induction (PAKDD 2006)
- Phu Chien Nguyen, Kouzou Ohara, Akira Mogi, Hiroshi Motoda, Takashi Washio
- [Paper]
-
Variable Randomness in Decision Tree Ensembles (PAKDD 2006)
- Fei Tony Liu, Kai Ming Ting
- [Paper]
-
Generalized Conditional Entropy and a Metric Splitting Criterion for Decision Trees (PAKDD 2006)
- Dan A. Simovici, Szymon Jaroszewicz
- [Paper]
-
Decision Trees for Hierarchical Multilabel Classification: A Case Study in Functional Genomics (PKDD 2006)
- Hendrik Blockeel, Leander Schietgat, Jan Struyf, Saso Dzeroski, Amanda Clare
- [Paper]
-
k-Anonymous Decision Tree Induction (PKDD 2006)
- Arik Friedman, Assaf Schuster, Ran Wolff
- [Paper]
2005
-
Representing Conditional Independence Using Decision Trees (AAAI 2005)
- Jiang Su, Harry Zhang
- [Paper]
-
Use of Expert Knowledge for Decision Tree Pruning (AAAI 2005)
- Jingfeng Cai, John Durkin
- [Paper]
-
Model Selection in Omnivariate Decision Trees (ECML 2005)
- Olcay Taner Yildiz, Ethem Alpaydin
- [Paper]
-
Combining Bias and Variance Reduction Techniques for Regression Trees (ECML 2005)
- Yuk Lai Suen, Prem Melville, Raymond J. Mooney
- [Paper]
-
Simple Test Strategies for Cost-Sensitive Decision Trees (ECML 2005)
- Shengli Sheng, Charles X. Ling, Qiang Yang
- [Paper]
-
Effective Estimation of Posterior Probabilities: Explaining the Accuracy of Randomized Decision Tree Approaches (ICDM 2005)
- Wei Fan, Ed Greengrass, Joe McCloskey, Philip S. Yu, Kevin Drummey
- [Paper]
-
Exploiting Informative Priors for Bayesian Classification and Regression Trees (IJCAI 2005)
- Nicos Angelopoulos, James Cussens
- [Paper]
-
Ranking Cases with Decision Trees: a Geometric Method that Preserves Intelligibility (IJCAI 2005)
- Isabelle Alvarez, Stephan Bernard
- [Paper]
-
Maximizing Tree Diversity by Building Complete-Random Decision Trees (PAKDD 2005)
- Fei Tony Liu, Kai Ming Ting, Wei Fan
- [Paper]
-
Hybrid Cost-Sensitive Decision Tree (PKDD 2005)
- Shengli Sheng, Charles X. Ling
- [Paper]
-
Tree2 - Decision Trees for Tree Structured Data (PKDD 2005)
- Björn Bringmann, Albrecht Zimmermann
- [Paper]
-
Building Decision Trees on Records Linked through Key References (SDM 2005)
- Ke Wang, Yabo Xu, Philip S. Yu, Rong She
- [Paper]
-
Decision Tree Induction in High Dimensional, Hierarchically Distributed Databases (SDM 2005)
- Amir Bar-Or, Ran Wolff, Assaf Schuster, Daniel Keren
- [Paper]
-
Boosted Decision Trees for Word Recognition in Handwritten Document Retrieval (SIGIR 2005)
- Nicholas R. Howe, Toni M. Rath, R. Manmatha
- [Paper]
2004
-
On the Optimality of Probability Estimation by Random Decision Trees (AAAI 2004)
- Wei Fan
- [Paper]
-
Occam's Razor and a Non-Syntactic Measure of Decision Tree Complexity (AAAI 2004)
- Goutam Paul
- [Paper]
-
Using Emerging Patterns and Decision Trees in Rare-Class Classification (ICDM 2004)
- Hamad Alhammady, Kotagiri Ramamohanarao
- [Paper]
-
Orthogonal Decision Trees (ICDM 2004)
- Hillol Kargupta, Haimonti Dutta
- [Paper]
-
Improving the Reliability of Decision Tree and Naive Bayes Learners (ICDM 2004)
- David George Lindsay, Siân Cox
- [Paper]
-
Communication Efficient Construction of Decision Trees Over Heterogeneously Distributed Data (ICDM 2004)
- Chris Giannella, Kun Liu, Todd Olsen, Hillol Kargupta
- [Paper]
-
Decision Tree Evolution Using Limited Number of Labeled Data Items from Drifting Data Streams (ICDM 2004)
- Wei Fan, Yi-an Huang, Philip S. Yu
- [Paper]
-
Lookahead-based Algorithms for Anytime Induction of Decision Trees (ICML 2004)
- Saher Esmeir, Shaul Markovitch
- [Paper]
-
Decision Trees with Minimal Costs (ICML 2004)
- Charles X. Ling, Qiang Yang, Jianning Wang, Shichao Zhang
- [Paper]
-
Training Conditional Random Fields via Gradient Tree Boosting (ICML 2004)
- Thomas G. Dietterich, Adam Ashenfelter, Yaroslav Bulatov
- [Paper]
-
Detecting Structural Metadata with Decision Trees and Transformation-Based Learning (NAACL 2004)
- Joungbum Kim, Sarah E. Schwarm, Mari Ostendorf
- [Paper]
-
On the Adaptive Properties of Decision Trees (NIPS 2004)
- Clayton D. Scott, Robert D. Nowak
- [Paper]
-
A Metric Approach to Building Decision Trees Based on Goodman-Kruskal Association Index (PAKDD 2004)
- Dan A. Simovici, Szymon Jaroszewicz
- [Paper]
2003
-
Rademacher Penalization over Decision Tree Prunings (ECML 2003)
- Matti Kääriäinen, Tapio Elomaa
- [Paper]
-
Ensembles of Cascading Trees (ICDM 2003)
- Jinyan Li, Huiqing Liu
- [Paper]
-
Postprocessing Decision Trees to Extract Actionable Knowledge (ICDM 2003)
- Qiang Yang, Jie Yin, Charles X. Ling, Tielin Chen
- [Paper]
-
K-D Decision Tree: An Accelerated and Memory Efficient Nearest Neighbor Classifier (ICDM 2003)
- Tomoyuki Shibata, Takekazu Kato, Toshikazu Wada
- [Paper]
-
Identifying Markov Blankets with Decision Tree Induction (ICDM 2003)
- Lewis J. Frey, Douglas H. Fisher, Ioannis Tsamardinos, Constantin F. Aliferis, Alexander R. Statnikov
- [Paper]
-
Comparing Naive Bayes, Decision Trees, and SVM with AUC and Accuracy (ICDM 2003)
- Jin Huang, Jingjing Lu, Charles X. Ling
- [Paper]
-
Boosting Lazy Decision Trees (ICML 2003)
- Xiaoli Zhang Fern, Carla E. Brodley
- [Paper]
-
Decision Tree with Better Ranking (ICML 2003)
- Charles X. Ling, Robert J. Yan
- [Paper]
-
Skewing: An Efficient Alternative to Lookahead for Decision Tree Induction (IJCAI 2003)
- David Page, Soumya Ray
- [Paper]
-
Efficient Decision Tree Construction on Streaming Data (KDD 2003)
- Ruoming Jin, Gagan Agrawal
- [Paper]
-
PaintingClass: Interactive Construction Visualization and Exploration of Decision Trees (KDD 2003)
- Soon Tee Teoh, Kwan-Liu Ma
- [Paper]
-
Accurate Decision Trees for Mining High-Speed Data Streams (KDD 2003)
- João Gama, Ricardo Rocha, Pedro Medas
- [Paper]
-
Near-Minimax Optimal Classification with Dyadic Classification Trees (NIPS 2003)
- Clayton D. Scott, Robert D. Nowak
- [Paper]
-
Improving Performance of Decision Tree Algorithms with Multi-edited Nearest Neighbor Rule (PAKDD 2003)
- Chenzhou Ye, Jie Yang, Lixiu Yao, Nian-yi Chen
- [Paper]
-
Arbogodai: a New Approach for Decision Trees (PKDD 2003)
- Djamel A. Zighed, Gilbert Ritschard, Walid Erray, Vasile-Marian Scuturici
- [Paper]
-
Communication and Memory Efficient Parallel Decision Tree Construction (SDM 2003)
- Ruoming Jin, Gagan Agrawal
- [Paper]
-
Decision Tree Classification of Spatial Data Patterns from Videokeratography using Zernicke Polynomials (SDM 2003)
- Michael D. Twa, Srinivasan Parthasarathy, Thomas W. Raasch, Mark Bullimore
- [Paper]
2002
-
Multiclass Alternating Decision Trees (ECML 2002)
- Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark A. Hall
- [Paper]
-
Heterogeneous Forests of Decision Trees (ICANN 2002)
- Krzysztof Grabczewski, Wlodzislaw Duch
- [Paper]
-
Solving the Fragmentation Problem of Decision Trees by Discovering Boundary Emerging Patterns (ICDM 2002)
- Jinyan Li, Limsoon Wong
- [Paper]
-
Solving the Fragmentation Problem of Decision Trees by Discovering Boundary Emerging Patterns (ICDM 2002)
- Jinyan Li, Limsoon Wong
- [Paper]
-
Learning Decision Trees Using the Area Under the ROC Curve (ICML 2002)
- César Ferri, Peter A. Flach, José Hernández-Orallo
- [Paper]
-
Finding an Optimal Gain-Ratio Subset-Split Test for a Set-Valued Attribute in Decision Tree Induction (ICML 2002)
- Fumio Takechi, Einoshin Suzuki
- [Paper]
-
Efficiently Mining Frequent Trees in a Forest (KDD 2002)
- Mohammed Javeed Zaki
- [Paper]
-
SECRET: a Scalable Linear Regression Tree Algorithm (KDD 2002)
- Alin Dobra, Johannes Gehrke
- [Paper]
-
Instability of Decision Tree Classification Algorithms (KDD 2002)
- Ruey-Hsia Li, Geneva G. Belford
- [Paper]
-
Extracting Decision Trees From Trained Neural Networks (KDD 2002)
- Olcay Boz
- [Paper]
-
Dyadic Classification Trees via Structural Risk Minimization (NIPS 2002)
- Clayton D. Scott, Robert D. Nowak
- [Paper]
-
Approximate Splitting for Ensembles of Trees using Histograms (SDM 2002)
- Chandrika Kamath, Erick Cantú-Paz, David Littau
- [Paper]
2001
-
Japanese Named Entity Recognition based on a Simple Rule Generator and Decision Tree Learning (ACL 2001)
- Hideki Isozaki
- [Paper]
-
Message Length as an Effective Ockham's Razor in Decision Tree Induction (AISTATS 2001)
- Scott Needham, David L. Dowe
- [Paper]
-
SQL Database Primitives for Decision Tree Classifiers (CIKM 2001)
- Kai-Uwe Sattler, Oliver Dunemann
- [Paper]
-
A Unified Framework for Evaluation Metrics in Classification Using Decision Trees (ECML 2001)
- Ricardo Vilalta, Mark Brodie, Daniel Oblinger, Irina Rish
- [Paper]
-
Backpropagation in Decision Trees for Regression (ECML 2001)
- Victor Medina-Chico, Alberto Suárez, James F. Lutsko
- [Paper]
-
Consensus Decision Trees: Using Consensus Hierarchical Clustering for Data Relabelling and Reduction (ECML 2001)
- Branko Kavsek, Nada Lavrac, Anuska Ferligoj
- [Paper]
-
Mining Decision Trees from Data Streams in a Mobile Environment (ICDM 2001)
- Hillol Kargupta, Byung-Hoon Park
- [Paper]
-
Efficient Determination of Dynamic Split Points in a Decision Tree (ICDM 2001)
- David Maxwell Chickering, Christopher Meek, Robert Rounthwaite
- [Paper]
-
A Comparison of Stacking with Meta Decision Trees to Bagging, Boosting, and Stacking with other Methods (ICDM 2001)
- Bernard Zenko, Ljupco Todorovski, Saso Dzeroski
- [Paper]
-
Efficient Algorithms for Decision Tree Cross-Validation (ICML 2001)
- Hendrik Blockeel, Jan Struyf
- [Paper]
-
Bias Correction in Classification Tree Construction (ICML 2001)
- Alin Dobra, Johannes Gehrke
- [Paper]
-
Breeding Decision Trees Using Evolutionary Techniques (ICML 2001)
- Athanassios Papagelis, Dimitrios Kalles
- [Paper]
-
Obtaining Calibrated Probability Estimates from Decision Trees and Naive Bayesian Classifiers (ICML 2001)
- Bianca Zadrozny, Charles Elkan
- [Paper]
-
Temporal Decision Trees or the lazy ECU vindicated (IJCAI 2001)
- Luca Console, Claudia Picardi, Daniele Theseider Dupré
- [Paper]
-
Data Mining Criteria for Tree-based Regression and Classification (KDD 2001)
- Andreas Buja, Yung-Seop Lee
- [Paper]
-
A Decision Tree of Bigrams is an Accurate Predictor of Word Sense (NAACL 2001)
- Ted Pedersen
- [Paper]
-
Rule Reduction over Numerical Attributes in Decision Tree Using Multilayer Perceptron (PAKDD 2001)
- DaeEun Kim, Jaeho Lee
- [Paper]
-
A Scalable Algorithm for Rule Post-pruning of Large Decision Trees (PAKDD 2001)
- Trong Dung Nguyen, Tu Bao Ho, Hiroshi Shimodaira
- [Paper]
-
Optimizing the Induction of Alternating Decision Trees (PAKDD 2001)
- Bernhard Pfahringer, Geoffrey Holmes, Richard Kirkby
- [Paper]
-
Interactive Construction of Decision Trees (PAKDD 2001)
- Jianchao Han, Nick Cercone
- [Paper]
-
Bloomy Decision Tree for Multi-objective Classification (PKDD 2001)
- Einoshin Suzuki, Masafumi Gotoh, Yuta Choki
- [Paper]
-
A Fourier Analysis Based Approach to Learning Decision Trees in a Distributed Environment (SDM 2001)
- Byung-Hoon Park, Rajeev Ayyagari, Hillol Kargupta
- [Paper]
2000
-
Intuitive Representation of Decision Trees Using General Rules and Exceptions (AAAI 2000)
- Bing Liu, Minqing Hu, Wynne Hsu
- [Paper]
-
Tagging Unknown Proper Names Using Decision Trees (ACL 2000)
- Frédéric Béchet, Alexis Nasr, Franck Genet
- [Paper]
-
Clustering Through Decision Tree Construction (CIKM 2000)
- Bing Liu, Yiyuan Xia, Philip S. Yu
- [Paper]
-
Handling Continuous-Valued Attributes in Decision Tree with Neural Network Modelling (ECML 2000)
- DaeEun Kim, Jaeho Lee
- [Paper]
-
Investigation and Reduction of Discretization Variance in Decision Tree Induction (ECML 2000)
- Pierre Geurts, Louis Wehenkel
- [Paper]
-
Nonparametric Regularization of Decision Trees (ECML 2000)
- Tobias Scheffer
- [Paper]
-
Exploiting the Cost (In)sensitivity of Decision Tree Splitting Criteria (ICML 2000)
- Chris Drummond, Robert C. Holte
- [Paper]
-
Multi-agent Q-learning and Regression Trees for Automated Pricing Decisions (ICML 2000)
- Manu Sridharan, Gerald Tesauro
- [Paper]
-
Growing Decision Trees on Support-less Association Rules (KDD 2000)
- Ke Wang, Senqiang Zhou, Yu He
- [Paper]
-
Efficient Algorithms for Constructing Decision Trees with Constraints (KDD 2000)
- Minos N. Garofalakis, Dongjoon Hyun, Rajeev Rastogi, Kyuseok Shim
- [Paper]
-
Interactive Visualization in Mining Large Decision Trees (PAKDD 2000)
- Trong Dung Nguyen, Tu Bao Ho, Hiroshi Shimodaira
- [Paper]
-
VQTree: Vector Quantization for Decision Tree Induction (PAKDD 2000)
- Shlomo Geva, Lawrence Buckingham
- [Paper]
-
Some Enhencements of Decision Tree Bagging (PKDD 2000)
- Pierre Geurts
- [Paper]
-
Combining Multiple Models with Meta Decision Trees (PKDD 2000)
- Ljupco Todorovski, Saso Dzeroski
- [Paper]
-
Induction of Multivariate Decision Trees by Using Dipolar Criteria (PKDD 2000)
- Leon Bobrowski, Marek Kretowski
- [Paper]
-
Decision Tree Toolkit: A Component-Based Library of Decision Tree Algorithms (PKDD 2000)
- Nikos Drossos, Athanassios Papagelis, Dimitrios Kalles
- [Paper]
1999
-
Modeling Decision Tree Performance with the Power Law (AISTATS 1999)
- Lewis J. Frey, Douglas H. Fisher
- [Paper]
-
Causal Mechanisms and Classification Trees for Predicting Chemical Carcinogens (AISTATS 1999)
- Louis Anthony Cox Jr.
- [Paper]
-
POS Tags and Decision Trees for Language Modeling (EMNLP 1999)
- Peter A. Heeman
- [Paper]
-
Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees (ICML 1999)
- Zijian Zheng, Geoffrey I. Webb, Kai Ming Ting
- [Paper]
-
The Alternating Decision Tree Learning Algorithm (ICML 1999)
-
Boosting with Multi-Way Branching in Decision Trees (NIPS 1999)
- Yishay Mansour, David A. McAllester
- [Paper]
1998
-
Learning Sorting and Decision Trees with POMDPs (ICML 1998)
- Blai Bonet, Hector Geffner
- [Paper]
-
Using a Permutation Test for Attribute Selection in Decision Trees (ICML 1998)
- Eibe Frank, Ian H. Witten
- [Paper]
-
A Fast and Bottom-Up Decision Tree Pruning Algorithm with Near-Optimal Generalization (ICML 1998)
- Michael J. Kearns, Yishay Mansour
- [Paper]
1997
-
Pessimistic Decision Tree Pruning Based Continuous-Time (ICML 1997)
- Yishay Mansour
- [Paper]
-
PAC Learning with Constant-Partition Classification Noise and Applications to Decision Tree Induction (ICML 1997)
- Scott E. Decatur
- [Paper]
-
Option Decision Trees with Majority Votes (ICML 1997)
- Ron Kohavi, Clayton Kunz
- [Paper]
-
Integrating Feature Construction with Multiple Classifiers in Decision Tree Induction (ICML 1997)
- Ricardo Vilalta, Larry A. Rendell
- [Paper]
-
Functional Models for Regression Tree Leaves (ICML 1997)
- Luís Torgo
- [Paper]
-
The Effects of Training Set Size on Decision Tree Complexity (ICML 1997)
- Tim Oates, David D. Jensen
- [Paper]
-
Unsupervised On-line Learning of Decision Trees for Hierarchical Data Analysis (NIPS 1997)
- Marcus Held, Joachim M. Buhmann
- [Paper]
-
Data-Dependent Structural Risk Minimization for Perceptron Decision Trees (NIPS 1997)
- John Shawe-Taylor, Nello Cristianini
- [Paper]
-
Generalization in Decision Trees and DNF: Does Size Matter (NIPS 1997)
- Mostefa Golea, Peter L. Bartlett, Wee Sun Lee, Llew Mason
- [Paper]
1996
-
Second Tier for Decision Trees (ICML 1996)
- Miroslav Kubat
- [Paper]
-
Non-Linear Decision Trees - NDT (ICML 1996)
- Andreas Ittner, Michael Schlosser
- [Paper]
-
Learning Relational Concepts with Decision Trees (ICML 1996)
- Peter Geibel, Fritz Wysotzki
- [Paper]
1995
-
A Hill-Climbing Approach for Optimizing Classification Trees (AISTATS 1995)
- Xiaorong Sun, Steve Y. Chiu, Louis Anthony Cox Jr.
- [Paper]
-
An Exact Probability Metric for Decision Tree Splitting (AISTATS 1995)
- J. Kent Martin
- [Paper]
-
On Pruning and Averaging Decision Trees (ICML 1995)
- Jonathan J. Oliver, David J. Hand
- [Paper]
-
On Handling Tree-Structured Attributed in Decision Tree Learning (ICML 1995)
- Hussein Almuallim, Yasuhiro Akiba, Shigeo Kaneda
- [Paper]
-
Retrofitting Decision Tree Classifiers Using Kernel Density Estimation (ICML 1995)
- Padhraic Smyth, Alexander G. Gray, Usama M. Fayyad
- [Paper]
-
Increasing the Performance and Consistency of Classification Trees by Using the Accuracy Criterion at the Leaves (ICML 1995)
- David J. Lubinsky
- [Paper]
-
Efficient Algorithms for Finding Multi-way Splits for Decision Trees (ICML 1995)
- Truxton Fulton, Simon Kasif, Steven Salzberg
- [Paper]
-
Theory and Applications of Agnostic PAC-Learning with Small Decision Trees (ICML 1995)
- Peter Auer, Robert C. Holte, Wolfgang Maass
- [Paper]
-
Boosting Decision Trees (NIPS 1995)
- Harris Drucker, Corinna Cortes
- [Paper]
-
Using Pairs of Data-Points to Define Splits for Decision Trees (NIPS 1995)
- Geoffrey E. Hinton, Michael Revow
- [Paper]
-
A New Pruning Method for Solving Decision Trees and Game Trees (UAI 1995)
- Prakash P. Shenoy
- [Paper]
1994
-
A Statistical Approach to Decision Tree Modeling (ICML 1994)
- Michael I. Jordan
- [Paper]
-
In Defense of C4.5: Notes Learning One-Level Decision Trees (ICML 1994)
- Tapio Elomaa
- [Paper]
-
An Improved Algorithm for Incremental Induction of Decision Trees (ICML 1994)
- Paul E. Utgoff
- [Paper]
-
Decision Tree Parsing using a Hidden Derivation Model (NAACL 1994)
- Frederick Jelinek, John D. Lafferty, David M. Magerman, Robert L. Mercer, Adwait Ratnaparkhi, Salim Roukos
- [Paper]
1993
- Using Decision Trees to Improve Case-Based Learning (ICML 1993)
- Claire Cardie
- [Paper]
1991
- Context Dependent Modeling of Phones in Continuous Speech Using Decision Trees (NAACL 1991)
- Lalit R. Bahl, Peter V. de Souza, P. S. Gopalakrishnan, David Nahamoo, Michael Picheny
- [Paper]
1989
- Performance Comparisons Between Backpropagation Networks and Classification Trees on Three Real-World Applications (NIPS 1989)
- Les E. Atlas, Ronald A. Cole, Jerome T. Connor, Mohamed A. El-Sharkawi, Robert J. Marks II, Yeshwant K. Muthusamy, Etienne Barnard
- [Paper]
1988
- Multiple Decision Trees (UAI 1988)
- Suk Wah Kwok, Chris Carter
- [Paper]
1987
- Decision Tree Induction Systems: A Bayesian Analysis (UAI 1987)
- Wray L. Buntine
- [Paper]
License