| 1995 | A Bayesian Analysis of Algorithms for Learning Finite Functions. James Cussens |
| 1995 | A Case Study of Explanation-Based Control. Gerald DeJong |
| 1995 | A Comparative Evaluation of Voting and Meta-learning on Partitioned Data. Philip K. Chan, Salvatore J. Stolfo |
| 1995 | A Comparison of Induction Algorithms for Selective and non-Selective Bayesian Classifiers. Moninder Singh, Gregory M. Provan |
| 1995 | A Lexical Based Semantic Bias for Theory Revision. Clifford Brunk, Michael J. Pazzani |
| 1995 | A Quantitative Study of Hypothesis Selection. Philip W. L. Fong |
| 1995 | Active Exploration and Learning in real-Valued Spaces using Multi-Armed Bandit Allocation Indices. Marcos Salganicoff, Lyle H. Ungar |
| 1995 | An Inductive Learning Approach to Prognostic Prediction. W. Nick Street, Olvi L. Mangasarian, William H. Wolberg |
| 1995 | Ant-Q: A Reinforcement Learning Approach to the Traveling Salesman Problem. Luca Maria Gambardella, Marco Dorigo |
| 1995 | Automatic Parameter Selection by Minimizing Estimated Error. Ron Kohavi, George H. John |
| 1995 | Automatic Selection of Split Criterion during Tree Growing Based on Node Location. Carla E. Brodley |
| 1995 | Automatic Speaker Recognition: An Application of Machine Learning. Brett Squires, Claude Sammut |
| 1995 | Bounds on the Classification Error of the Nearest Neighbor Rule. John A. Drakopoulos |
| 1995 | Case-Based Acquisition of Place Knowledge. Pat Langley, Karl Pfleger |
| 1995 | Committee-Based Sampling For Training Probabilistic Classifiers. Ido Dagan, Sean P. Engelson |
| 1995 | Comparing Several Linear-threshold Learning Algorithms on Tasks Involving Superfluous Attributes. Nick Littlestone |
| 1995 | Compression-Based Discretization of Continuous Attributes. Bernhard Pfahringer |
| 1995 | Discovering Solutions with Low Kolmogorov Complexity and High Generalization Capability. Jürgen Schmidhuber |
| 1995 | Distilling Reliable Information From Unreliable Theories. Sean P. Engelson, Moshe Koppel |
| 1995 | Efficient Algorithms for Finding Multi-way Splits for Decision Trees. Truxton Fulton, Simon Kasif, Steven Salzberg |
| 1995 | Efficient Learning from Delayed Rewards through Symbiotic Evolution. David E. Moriarty, Risto Miikkulainen |
| 1995 | Efficient Learning with Virtual Threshold Gates. Wolfgang Maass, Manfred K. Warmuth |
| 1995 | Efficient Memory-Based Dynamic Programming. Jing Peng |
| 1995 | Empirical Support for Winnow and Weighted-Majority Based Algorithms: Results on a Calendar Scheduling Domain. Avrim Blum |
| 1995 | Error-Correcting Output Coding Corrects Bias and Variance. Eun Bae Kong, Thomas G. Dietterich |
| 1995 | Explanation-Based Learning and Reinforcement Learning: A Unified View. Thomas G. Dietterich, Nicholas S. Flann |
| 1995 | Fast Effective Rule Induction. William W. Cohen |
| 1995 | Fast and Efficient Reinforcement Learning with Truncated Temporal Differences. Pawel Cichosz, Jan J. Mulawka |
| 1995 | For Every Generalization Action, Is There Really an Equal and Opposite Reaction? R. Bharat Rao, Diana F. Gordon, William M. Spears |
| 1995 | Free to Choose: Investigating the Sample Complexity of Active Learning of Real Valued Functions. Partha Niyogi |
| 1995 | Hill Climbing Beats Genetic Search on a Boolean Circuit Synthesis Problem of Koza's. Kevin J. Lang |
| 1995 | Horizonal Generalization. David H. Wolpert |
| 1995 | Increasing the Performance and Consistency of Classification Trees by Using the Accuracy Criterion at the Leaves. David J. Lubinsky |
| 1995 | Inductive Learning of Reactive Action Models. Scott Benson |
| 1995 | Inferring Reduced Ordered Decision Graphs of Minimum Description Length. Arlindo L. Oliveira, Alberto L. Sangiovanni-Vincentelli |
| 1995 | Instance-Based Utile Distinctions for Reinforcement Learning with Hidden State. R. Andrew McCallum |
| 1995 | K John G. Cleary, Leonard E. Trigg |
| 1995 | Learning Collection Fusion Strategies for Information Retrieval. Geoffrey G. Towell, Ellen M. Voorhees, Narendra Kumar Gupta, Ben Johnson-Laird |
| 1995 | Learning Hierarchies from Ambiguous Natural Language Data. Takefumi Yamazaki, Michael J. Pazzani, Christopher J. Merz |
| 1995 | Learning Policies for Partially Observable Environments: Scaling Up. Michael L. Littman, Anthony R. Cassandra, Leslie Pack Kaelbling |
| 1995 | Learning Proof Heuristics by Adaptive Parameters. Matthias Fuchs |
| 1995 | Learning Prototypical Concept Descriptions. Piew Datta, Dennis F. Kibler |
| 1995 | Learning With Bayesian Networks (Abstract). David Heckerman |
| 1995 | Learning by Observation and Practice: An Incremental Approach for Planning Operator Acquisition. Xuemei Wang |
| 1995 | Learning for Automotive Collision Avoidance and Autonomous Control. Dean Pomerleau |
| 1995 | Learning to Make Rent-to-Buy Decisions with Systems Applications. P. Krishnan, Philip M. Long, Jeffrey Scott Vitter |
| 1995 | Learning with Rare Cases and Small Disjuncts. Gary M. Weiss |
| 1995 | Lessons from Theory Revision Applied to Constructive Induction. Steven K. Donoho, Larry A. Rendell |
| 1995 | MDL and Categorical Theories (Continued). J. Ross Quinlan |
| 1995 | Machine Learning and Information Retrieval (Abstract). W. Bruce Croft |
| 1995 | Machine Learning, Proceedings of the Twelfth International Conference on Machine Learning, Tahoe City, California, USA, July 9-12, 1995 Armand Prieditis, Stuart Russell |
| 1995 | NewsWeeder: Learning to Filter Netnews. Ken Lang |
| 1995 | On Handling Tree-Structured Attributed in Decision Tree Learning. Hussein Almuallim, Yasuhiro Akiba, Shigeo Kaneda |
| 1995 | On Learning Decision Committees. Richard Nock, Olivier Gascuel |
| 1995 | On Pruning and Averaging Decision Trees. Jonathan J. Oliver, David J. Hand |
| 1995 | On-line Learning of Binary Lexical Relations Using Two-dimensional Weighted Majority Algorithms. Naoki Abe, Hang Li, Atsuyoshi Nakamura |
| 1995 | Protein Folding: Symbolic Refinement Competes with Neural Networks. Susan Craw, Paul Hutton |
| 1995 | Q-Learning for Bandit Problems. Michael O. Duff |
| 1995 | Reinforcement Learning by Stochastic Hill Climbing on Discounted Reward. Hajime Kimura, Masayuki Yamamura, Shigenobu Kobayashi |
| 1995 | Removing the Genetics from the Standard Genetic Algorithm. Shumeet Baluja, Rich Caruana |
| 1995 | Residual Algorithms: Reinforcement Learning with Function Approximation. Leemon C. Baird III |
| 1995 | Retrofitting Decision Tree Classifiers Using Kernel Density Estimation. Padhraic Smyth, Alexander G. Gray, Usama M. Fayyad |
| 1995 | Stable Function Approximation in Dynamic Programming. Geoffrey J. Gordon |
| 1995 | Supervised and Unsupervised Discretization of Continuous Features. James Dougherty, Ron Kohavi, Mehran Sahami |
| 1995 | Symbiosis in Multimodal Concept Learning. Jukka Hekanaho |
| 1995 | TD Models: Modeling the World at a Mixture of Time Scales. Richard S. Sutton |
| 1995 | Text Categorization and Relational Learning. William W. Cohen |
| 1995 | The Challenge of Revising an Impure Theory. Russell Greiner |
| 1995 | Theory and Applications of Agnostic PAC-Learning with Small Decision Trees. Peter Auer, Robert C. Holte, Wolfgang Maass |
| 1995 | Tracking the Best Expert. Mark Herbster, Manfred K. Warmuth |
| 1995 | Using Multidimensional Projection to Find Relations. Eduardo Pérez, Larry A. Rendell |
| 1995 | Visualizing High-Dimensional Structure with the Incremental Grid Growing Neural Network. Justine Blackmore, Risto Miikkulainen |