Machine Learning 1996: all accepted papers
- Bagging Predictors ↗Leo Breiman17,218 citations
- Bagging predictorsLeo Breiman16,310 citations · our summary
- Stacked Regressions ↗Leo Breiman1,912 citations
- Learning in the Presence of Concept Drift and Hidden Contexts ↗Gerhard Widmer, Miroslav Kubát1,840 citations
- Linear Least-Squares algorithms for temporal difference learning ↗Steven J. Bradtke, Andrew G. Barto599 citations
- Reinforcement learning with replacing eligibility traces ↗Satinder Pal Singh, Richard S. Sutton575 citations
- Feature-based methods for large scale dynamic programming ↗John N. Tsitsiklis, Benjamin Van Roy432 citations
- Average reward reinforcement learning: Foundations, algorithms, and empirical results ↗Sridhar Mahadevan385 citations
- Efficient reinforcement learning through symbiotic evolution ↗David E. Moriarty, Risto P Miikkulainen325 citations
- A Lattice Conceptual Clustering System and Its Application to Browsing Retrieval ↗Claudio Carpineto, Giovanni Romano309 citations
- Incremental multi-step Q-learning ↗Jing Peng, Ronald J. Williams286 citations
- Purposive behavior acquisition for a real robot by vision-based reinforcement learning ↗Minoru Asada, Shoichi Noda, Sukoya Tawaratsumida et al.274 citations
- Technical Note: Some Properties of Splitting Criteria ↗Leo Breiman270 citations
- Unifying Instance-Based and Rule-Based Induction ↗Pedro Domingos242 citations
- The Power of Amnesia: Learning Probabilistic Automata with Variable Memory Length ↗Dana Ron, Yoram Singer, Naftali Tishby185 citations
- Error reduction through learning multiple descriptions ↗Kamal Ali, Michael J. Pazzani163 citations
- Exploration Bonuses and Dual Control ↗Peter Dayan, Terrence J. Sejnowski118 citations
- The effect of representation and knowledge on goal-directed exploration with reinforcement-learning algorithms ↗Sven Koenig, Reid G. Simmons102 citations
- Creating advice-taking reinforcement learners ↗Richard Maclin, JUDE W. SHAVLIK98 citations
- Representation of Finite State Automata in Recurrent Radial Basis Function Networks ↗Paolo Frasconi, Marco Gori, Marco Maggini et al.97 citations
- Robot programming by Demonstration (RPD): Supporting the induction by human interaction ↗H. Friedrich, S. M�nch, Rüdiger Dillmann et al.77 citations
- On-line Prediction and Conversion Strategies ↗Nicolò Cesa‐Bianchi, Yoav Freund, David P. Helmbold et al.72 citations
- Scaling Up Inductive Learning with Massive Parallelism ↗Foster John Provost, John M. Aronis56 citations
- Active learning for vision-based robot grasping ↗Marcos Salganicoff, Lyle Ungar, Ruzena Bajcsy51 citations
- BEXA: A Covering Algorithm for Learning Propositional Concept Descriptions ↗H Theron, Ian Cloete44 citations
- Learning concepts from sensor data of a mobile robot ↗Volker Klingspor, Katharina J. Morik, Anke D. Rieger44 citations
- Linear Least-Squares Algorithms for Temporal Difference Learning ↗Steven J. Bradtke, Andrew G. Barto39 citations
- Classification by Feature Partitioning ↗Halil Altay Güvenir, İzzet Şirin36 citations
- Efficient incremental induction of decision trees ↗Dimitris Kalles, Tim Morris36 citations
- On the worst-case analysis of temporal-difference learning algorithms ↗Robert E. Schapire, Manfred K. Warmuth33 citations
- Reinforcement Learning with Replacing Eligibility Traces ↗Satinder Pal Singh, Richard S. Sutton28 citations
- Using the Minimum Description Length Principle to Infer Reduced Ordered Decision Graphs ↗Arlindo L. Oliveira, Alberto Luigi Sangiovanni-Vincentelli27 citations
- Average Reward Reinforcement Learning: Foundations, Algorithms, and Empirical Results ↗Sridhar Mahadevan26 citations
- Classic Learning ↗Michael Frazier, Leonard Pitt25 citations
- Learning controllers for industrial robots ↗Cristina Baroglio A, Attilio Giordana, M. Kaiser et al.23 citations
- Rigorous Learning Curve Bounds from Statistical Mechanics ↗David H. Haussler, Michael J. Kearns, H. Sebastian Seung et al.20 citations
- Real-world robotics: Learning to plan for robust execution ↗Scott W. Bennett, GERALD F. DEJONG19 citations
- A decision-tree model of balance scale development ↗William C. Schmidt, Charles X. Ling18 citations
- The loss from imperfect value functions in expectation-based and minimax-based tasks ↗Matthias Heger18 citations
- Performance improvement of robot continuous-path operation through iterative learning using neural networks ↗Peter C. Y. Chen, James K. Mills, Kenneth C. Smith16 citations
- Feature-Based Methods for Large Scale Dynamic Programming ↗John N. Tsitsiklis, Benjamin Van Roy15 citations
- On Learning Visual Concepts and DNF Formulae ↗Eyal Kushilevitz Z, Dan Roth10 citations
- On the Limits of Proper Learnability of Subclasses of DNF Formulas ↗Krishnan Pillaipakkamnatt, Vijay Raghavan9 citations
- PAC Learning of One-Dimensional Patterns ↗Paul W. Goldberg, Sally A. Goldman, Stephen Scott9 citations
- Efficient Reinforcement Learning through Symbiotic Evolution ↗David E. Moriarty, Risto Mikkulainen8 citations
- Incremental Multi-Step Q-Learning ↗Jing Peng, Ronald J. Williams8 citations
- Creating Advice-Taking Reinforcement Learners ↗Richard Maclin, JUDE W. SHAVLIK7 citations
- On learning visual concepts and DNF formulae ↗Eyal Kushilevitz Z, Dan Roth7 citations
- Purposive Behavior Acquisition for a Real Robot by Vision-Based Reinforcement Learning ↗Minoru Asada, Shoichi Noda, Sukoya Tawaratsumida et al.7 citations
- Learning Concepts from Sensor Data of a Mobile Robot ↗Volker Klingspor, Katharina J. Morik, Anke D. Rieger6 citations
- Learning Controllers for Industrial Robots ↗Cristina Baroglio A, Attilio Giordana, Roberto Piola et al.4 citations
- The Effect of Representation and Knowledge on Goal-Directed Exploration with Reinforcement-Learning Algorithms ↗Sven Koenig, Reid G. Simmons4 citations
- A Reply to Pazzani's Book Review of "Inductive Logic Programming: Techniques and Applications" ↗Nada Lavrač A, Sašo Džeroski3 citations
- Introduction ↗Leslie Pack Kaelbling3 citations
- Editorial ↗Thomas G. Dietterich2 citations
- Editorial ↗Thomas G. Dietterich2 citations
- Introduction ↗Leslie Pack Kaelbling2 citations
- On the Worst-Case Analysis of Temporal-Difference Learning Algorithms ↗Robert E. Schapire, Manfred K. Warmuth2 citations
- Review of ?Inductive Logic Programming: Techniques and Applications? by Nada Lavra?, Sa?o D?eroski ↗Michael J. Pazzani2 citations
- Robot Programming by Demonstration (RPD): Supporting the Induction by Human Interaction ↗H. Friedrich, S. Mnch, R. Dillmann et al.2 citations
- Performance Improvement of Robot Continuous-Path Operation through Iterative Learning Using Neural Networks ↗Peter C. Y. Chen, James K. Mills, Kenneth C. Smith1 citation
- Real-World Robotics: Learning to Plan for Robust Execution ↗Scott W. Bennett, GERALD F. DEJONG1 citation
- Active Learning for Vision-Based Robot Grasping ↗Marcos Salganicoff, Lyle Ungar, Ruzena K. Bajcsy
- Guest Editor's Introduction ↗Thomas Hancock
- 特集 こころの"人間ドック"創設を ↗浩也 久保田
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