| 1993 | A Reinforcement Learning Method for Maximizing Undiscounted Rewards. Anton Schwartz |
| 1993 | ATM Scheduling with Queuing Dely Predictions. Daniel B. Schwartz |
| 1993 | Adaptive NeuroControl: How Black Box and Simple can it be. Jean-Michel Renders, Hugues Bersini, Marco Saerens |
| 1993 | An SE-tree based Characterization of the Induction Problem. Ron Rymon |
| 1993 | Automatic Algorith/Model Class Selection. Carla E. Brodley |
| 1993 | Automating Path Analysis for Building Causal Models from Data. Paul R. Cohen, Adam Carlson, Lisa Ballesteros, Adam St. Amant |
| 1993 | Better Learners Use Analogical Problem Solving Sparingly. Kurt VanLehn, Randolph M. Jones |
| 1993 | Combinatorial Optimization in Inductive Concept Learning. Dunja Mladenic |
| 1993 | Combining Instance-Based and Model-Based Learning. J. Ross Quinlan |
| 1993 | Compiling Bayesian Networks into Neural Networks. Eddie Schwalb |
| 1993 | Concept Sharing: A Means to Improve Multi-Concept Learning. Piew Datta, Dennis F. Kibler |
| 1993 | Constraining Learning with Search Control. Jihie Kim, Paul S. Rosenbloom |
| 1993 | Constructing Hidden Variables in Bayesian Networks via Conceptual Clustering. Dennis Connolly |
| 1993 | Data Mining of Subjective Agricultural Data. R. Bharat Rao, Thomas B. Voigt, Thomas W. Fermanian |
| 1993 | Decision Theoretic Subsampling for Induction on Large Databases. Ron Musick, Jason Catlett, Stuart Russell |
| 1993 | Density-Adaptive Learning and Forgetting. Marcos Salganicoff |
| 1993 | Discovering Dynamics. Saso Dzeroski, Ljupco Todorovski |
| 1993 | Efficient Domain-Independent Experimentation. Yolanda Gil |
| 1993 | Efficiently Inducing Determinations: A Complete and Systematic Search Algorithm that Uses Optimal Pruning. Jeffrey C. Schlimmer |
| 1993 | Explaining and Generalizing Diagnostic Decisions. Paul O'Rorke, Yousri El Fattah, Margaret Elliott |
| 1993 | Explanation Based Learning: A Comparison of Symbolic and Neural Network Approaches. Tom M. Mitchell, Sebastian Thrun |
| 1993 | GALOIS: An Order-Theoretic Approach to Conceptual Clustering. Claudio Carpineto, Giovanni Romano |
| 1993 | Generalization under Implication by Recursive Anti-unification. Peter Idestam-Almquist |
| 1993 | Hierarchical Learning in Stochastic Domains: Preliminary Results. Leslie Pack Kaelbling |
| 1993 | Learning DNF Via Probabilistic Evidence Combination. Steven W. Norton, Haym Hirsh |
| 1993 | Learning From Entailment: An Application to Propositional Horn Sentences. Michael Frazier, Leonard Pitt |
| 1993 | Learning Procedures from Interactive Natural Language Instructions. Scott B. Huffman, John E. Laird |
| 1993 | Learning Search Control Knowledge for Deep Space Network Scheduling. Jonathan Gratch, Steve A. Chien, Gerald DeJong |
| 1993 | Learning Symbolic Rules Using Artificial Neural Networks. Mark W. Craven, Jude W. Shavlik |
| 1993 | Learning from Queries and Examples with Tree-structured Bias. Prasad Tadepalli |
| 1993 | Lookahead Feature Construction for Learning Hard Concepts. Harish Ragavan, Larry A. Rendell |
| 1993 | Machine Learning, Proceedings of the Tenth International Conference, University of Massachusetts, Amherst, MA, USA, June 27-29, 1993 Paul E. Utgoff |
| 1993 | Multi-Agent Reinforcement Learning: Independent versus Cooperative Agents. Ming Tan |
| 1993 | Multitask Learning: A Knowledge-Based Source of Inductive Bias. Rich Caruana |
| 1993 | Online Learning with Random Representations. Richard S. Sutton, Steven D. Whitehead |
| 1993 | Overcoming Incomplete Perception with Utile Distinction Memory. R. Andrew McCallum |
| 1993 | SKICAT: A Machine Learning System for Automated Cataloging of Large Scale Sky Surveys. Usama M. Fayyad, Nicholas Weir, S. George Djorgovski |
| 1993 | Scaling Up Reinforcement Learning for Robot Control. Long Ji Lin |
| 1993 | Small Disjuncts in Action: Learning to Diagnose Errors in the Local Loop of the Telephone Network. Andrea Pohoreckyj Danyluk, Foster J. Provost |
| 1993 | Supervised Learning and Divide-and-Conquer: A Statistical Approach. Michael I. Jordan, Robert A. Jacobs |
| 1993 | Synthesis of Abstraction Hierarchies for Constraint Satisfaction by Clustering Approximately Equivalent Objects. Thomas Ellman |
| 1993 | The Evolution of Gennetic Algorithms: Towards Massive Parallelism. Shumeet Baluja |
| 1993 | Using Decision Trees to Improve Case-Based Learning. Claire Cardie |
| 1993 | Using Qualitative Models to Guide Inductive Learning. Peter Clark, Stan Matwin |
| 1993 | ÉLÉNA: A Bottom-Up Learning Method. Pierre Brézellec, Henry Soldano |