| 1996 | A Convergent Reinforcement Learning Algorithm in the Continuous Case: The Finite-Element Reinforcement Learning. Rémi Munos |
| 1996 | A Generalized Reinforcement-Learning Model: Convergence and Applications. Michael L. Littman, Csaba Szepesvári |
| 1996 | A Probabilistic Approach to Feature Selection - A Filter Solution. Huan Liu, Rudy Setiono |
| 1996 | A Theoretical and Empirical Study of a Noise-Tolerant Algorithm to Learn Geormetric Patterns. Sally A. Goldman, Stephen D. Scott |
| 1996 | Actual Return Reinforcement Learning versus Temporal Differences: Some Theoretical and Experimental Results. Mark D. Pendrith, Malcolm R. K. Ryan |
| 1996 | Algorithms and Applications for Multitask Learning. Rich Caruana |
| 1996 | An Advanced Evolution Should Not Repeat its Past Errors. Caroline Ravise, Michèle Sebag |
| 1996 | Analogy Access by Mapping Spreading and Abstraction in Large, Multifunctional Knowledge Bases. Davide Roverso |
| 1996 | Applying Winnow to Context-Sensitive Spelling Correction. Andrew R. Golding, Dan Roth |
| 1996 | Applying the Multiple Cause Mixture Model to Text Categorization. Mehran Sahami, Marti A. Hearst, Eric Saund |
| 1996 | Applying the Waek Learning Framework to Understand and Improve C4.5. Thomas G. Dietterich, Michael J. Kearns, Yishay Mansour |
| 1996 | Approximate Value Trees in Structured Dynamic Programming. Craig Boutilier, Richard Dearden |
| 1996 | Background Knowledge in GA-based Concept Learning. Jukka Hekanaho |
| 1996 | Beyond Independence: Conditions for the Optimality of the Simple Bayesian Classifier. Pedro M. Domingos, Michael J. Pazzani |
| 1996 | Bias Plus Variance Decomposition for Zero-One Loss Functions. Ron Kohavi, David H. Wolpert |
| 1996 | Causal Discovery via MML. Chris S. Wallace, Kevin B. Korb, Honghua Dai |
| 1996 | Constructive Induction Using Fragmentary Knowledge. Steven K. Donoho, Larry A. Rendell |
| 1996 | Data Mining and Machine Learning (Abstract). Heikki Mannila |
| 1996 | Delaying the Choice of Bias: A Disjunctive Version Space Approach. Michèle Sebag |
| 1996 | Discovering Structure in Multiple Learning Tasks: The TC Algorithm. Sebastian Thrun, Joseph O'Sullivan |
| 1996 | Discretizing Continuous Attributes While Learning Bayesian Networks. Nir Friedman, Moisés Goldszmidt |
| 1996 | Efficient Learning of Selective Bayesian Network Classifiers. Moninder Singh, Gregory M. Provan |
| 1996 | Experimental Knowledge Acquisition for Planning. Kang Soo Tae, Diane J. Cook |
| 1996 | Experiments with a New Boosting Algorithm. Yoav Freund, Robert E. Schapire |
| 1996 | Exploiting the Omission of Irrelevant Data. Russell Greiner, Adam J. Grove, Alexander Kogan |
| 1996 | Identifying the Information Contained in a Flawed Theory. Sean P. Engelson, Moshe Koppel |
| 1996 | Improving the Efficiency of Knowledge Base Refinement. Leonardo Carbonara, Derek H. Sleeman |
| 1996 | K Nearest Neighbor Classification on Feature Projections. Aynur Akkus, H. Altay Güvenir |
| 1996 | Learning Active Classifiers. Russell Greiner, Adam J. Grove, Dan Roth |
| 1996 | Learning Bayesian Belief Networks Based on the Minimum Description Length Principle: An Efficient Algorithm Using the B & B Technique. Joe Suzuki |
| 1996 | Learning Despite Concept Variation by Finding Structure in Attribute-based Data. Eduardo Pérez, Larry A. Rendell |
| 1996 | Learning Evaluation Functions for Large Acyclic Domains. Justin A. Boyan, Andrew W. Moore |
| 1996 | Learning Goal Oriented Bayesian Networks for Telecommunications Risk Management. Kazuo J. Ezawa, Moninder Singh, Steven W. Norton |
| 1996 | Learning Radial Basis Function Networks On-line. Enrico Blanzieri, Patrick Katenkamp |
| 1996 | Learning Relational Concepts with Decision Trees. Peter Geibel, Fritz Wysotzki |
| 1996 | Learning Word Association Norms Using Tree Cut Pair Models. Naoki Abe, Hang Li |
| 1996 | Machine Learning, Proceedings of the Thirteenth International Conference (ICML '96), Bari, Italy, July 3-6, 1996 Lorenza Saitta |
| 1996 | Negative Robust Learning Results from Horn Claus Programs. Pascal Jappy, Richard Nock, Olivier Gascuel |
| 1996 | Non Mean Square Error Criteria for the Training of Learning Machines. Marco Saerens |
| 1996 | Non-Linear Decision Trees - NDT. Andreas Ittner, Michael Schlosser |
| 1996 | Nonparametric Statistical Methods for Experimental Evaluations of Speedup Learning. Geoffrey J. Gordon, Alberto Maria Segre |
| 1996 | On the Learnability of the Uncomputable. Richard H. Lathrop |
| 1996 | On-Line Adaptation of a Signal Predistorter through Dual Reinforcement Learning. Patrick Goetz, Shailesh Kumar, Risto Miikkulainen |
| 1996 | On-Line Portfolio Selection Using Multiplicative Updates. David P. Helmbold, Robert E. Schapire, Yoram Singer, Manfred K. Warmuth |
| 1996 | Passive Distance Learning for Robot Navigation. Sven Koenig, Reid G. Simmons |
| 1996 | Prababilistic Instance-Based Learning. Henry Tirri, Petri Kontkanen, Petri Myllymäki |
| 1996 | Recognition and Exploitation of Contextual CLues via Incremental Meta-Learning. Gerhard Widmer |
| 1996 | Reinforcement Learning in Factories: The Auton Project (Abstract). Andrew W. Moore |
| 1996 | Relational Instance-Based Learning. Werner Emde, Dietrich Wettschereck |
| 1996 | Representation Changes for Efficient Learning in Structural Domains. Jean-Daniel Zucker, Jean-Gabriel Ganascia |
| 1996 | Representing and Learning Quality-Improving Search Control Knowledge. M. Alicia Pérez |
| 1996 | Residual Q-Learning Applied to Visual Attention. Cesar Bandera, Francisco J. Vico, José Manuel Bravo, Mance E. Harmon, Leemon C. Baird III |
| 1996 | Scaling Up Average Reward Reinforcement Learning by Approximating the Domain Models and the Value Function. Prasad Tadepalli, DoKyeong Ok |
| 1996 | Searching for Structure in Multiple Streams of Data. Tim Oates, Paul R. Cohen |
| 1996 | Second Tier for Decision Trees. Miroslav Kubat |
| 1996 | Sensitive Discount Optimality: Unifying Discounted and Average Reward Reinforcement Learning. Sridhar Mahadevan |
| 1996 | Simplified Support Vector Decision Rules. Christopher J. C. Burges |
| 1996 | Solving POMDPs with Levin Search and EIRA. Marco A. Wiering, Jürgen Schmidhuber |
| 1996 | Speeding-up Nearest Neighbour Memories: The Template Tree Case Memory Organisation. Stephan Grolimund, Jean-Gabriel Ganascia |
| 1996 | Statistical Theory of Generalization (Abstract). Vladimir Vapnik |
| 1996 | The Characterisation of Predictive Accuracy and Decision Combination. Kai Ming Ting |
| 1996 | Theoretical Analysis of the Nearest Neighbor Classifier in Noisy Domains. Seishi Okamoto, Nobuhiro Yugami |
| 1996 | Theory-Guideed Induction of Logic Programs by Inference of Regular Languages. Henrik Boström |
| 1996 | Theory-guided Empirical Speedup Learning of Goal Decomposition Rules. Chandra Reddy, Prasad Tadepalli, Silvana Roncagliolo |
| 1996 | Toward Optimal Feature Selection. Daphne Koller, Mehran Sahami |
| 1996 | Toward a Model of Mind as a Laissez-Faire Economy of Idiots. Eric B. Baum |
| 1996 | Unsupervised Learning Using MML. Jonathan J. Oliver, Rohan A. Baxter, Chris S. Wallace |