| 1994 | A Bayesian Framework to Integrate Symbolic and Neural Learning. Irina Tchoumatchenko, Jean-Gabriel Ganascia |
| 1994 | A Conservation Law for Generalization Performance. Cullen Schaffer |
| 1994 | A Constraint-based Induction Algorithm in FOL. Michèle Sebag |
| 1994 | A Modular Q-Learning Architecture for Manipulator Task Decomposition. Chen-Khong Tham, Richard W. Prager |
| 1994 | A New Method for Predicting Protein Secondary Structures Based on Stochastic Tree Grammars. Naoki Abe, Hiroshi Mamitsuka |
| 1994 | A Powerful Heuristic for the Discovery of Complex Patterned Behaviour. Raúl E. Valdés-Pérez, Aurora Pérez |
| 1994 | A Statistical Approach to Decision Tree Modeling. Michael I. Jordan |
| 1994 | An Efficient Subsumption Algorithm for Inductive Logic Programming. Jörg-Uwe Kietz, Marcus Lübbe |
| 1994 | An Improved Algorithm for Incremental Induction of Decision Trees. Paul E. Utgoff |
| 1994 | An Incremental Learning Approach for Completable Planning. Melinda T. Gervasio, Gerald DeJong |
| 1994 | Bayesian Inductive Logic Programming. Stephen H. Muggleton |
| 1994 | Boosting and Other Machine Learning Algorithms. Harris Drucker, Corinna Cortes, Lawrence D. Jackel, Yann LeCun, Vladimir Vapnik |
| 1994 | Combining Top-down and Bottom-up Techniques in Inductive Logic Programming. John M. Zelle, Raymond J. Mooney, Joshua B. Konvisser |
| 1994 | Comparing Methods for Refining Certainty-Factor Rule-Bases. J. Jeffrey Mahoney, Raymond J. Mooney |
| 1994 | Consideration of Risk in Reinforcement Learning. Matthias Heger |
| 1994 | Efficient Algorithms for Minimizing Cross Validation Error. Andrew W. Moore, Mary S. Lee |
| 1994 | Frequencies vs. Biases: Machine Learning Problems in Natural Language Processing - Abstract. Fernando C. N. Pereira |
| 1994 | Getting the Most from Flawed Theories. Moshe Koppel, Alberto Maria Segre, Ronen Feldman |
| 1994 | Greedy Attribute Selection. Rich Caruana, Dayne Freitag |
| 1994 | Heterogeneous Uncertainty Sampling for Supervised Learning. David D. Lewis, Jason Catlett |
| 1994 | Hierarchical Self-Organization in Genetic programming. Justinian P. Rosca, Dana H. Ballard |
| 1994 | Improving Accuracy of Incorrect Domain Theories. Lars Asker |
| 1994 | In Defense of C4.5: Notes in Learning One-Level Decision Trees. Tapio Elomaa |
| 1994 | Incremental Multi-Step Q-Learning. Jing Peng, Ronald J. Williams |
| 1994 | Incremental Reduced Error Pruning. Johannes Fürnkranz, Gerhard Widmer |
| 1994 | Irrelevant Features and the Subset Selection Problem. George H. John, Ron Kohavi, Karl Pfleger |
| 1994 | Learning Disjunctive Concepts by Means of Genetic Algorithms. Attilio Giordana, Lorenza Saitta, Floriano Zini |
| 1994 | Learning Recursive Relations with Randomly Selected Small Training Sets. David W. Aha, Stephane Lapointe, Charles X. Ling, Stan Matwin |
| 1994 | Learning Without State-Estimation in Partially Observable Markovian Decision Processes. Satinder P. Singh, Tommi S. Jaakkola, Michael I. Jordan |
| 1994 | Learning by Experimentation: Incremental Refinement of Incomplete Planning Domains. Yolanda Gil |
| 1994 | Machine Learning, Proceedings of the Eleventh International Conference, Rutgers University, New Brunswick, NJ, USA, July 10-13, 1994 William W. Cohen, Haym Hirsh |
| 1994 | Markov Games as a Framework for Multi-Agent Reinforcement Learning. Michael L. Littman |
| 1994 | On the Worst-Case Analysis of Temporal-Difference Learning Algorithms. Robert E. Schapire, Manfred K. Warmuth |
| 1994 | Prototype and Feature Selection by Sampling and Random Mutation Hill Climbing Algorithms. David B. Skalak |
| 1994 | Reducing Misclassification Costs. Michael J. Pazzani, Christopher J. Merz, Patrick M. Murphy, Kamal M. Ali, Timothy Hume, Clifford Brunk |
| 1994 | Revision of Production System Rule-Bases. Patrick M. Murphy, Michael J. Pazzani |
| 1994 | Reward Functions for Accelerated Learning. Maja J. Mataric |
| 1994 | Rule Induction for Semantic Query Optimization. Chun-Nan Hsu, Craig A. Knoblock |
| 1994 | Selective Reformulation of Examples in Concept Learning. Jean-Daniel Zucker, Jean-Gabriel Ganascia |
| 1994 | Small Sample Decision tree Pruning. Sholom M. Weiss, Nitin Indurkhya |
| 1994 | The Generate, Test, and Explain Discovery System Architecture. Michael de la Maza |
| 1994 | The Minimum Description Length Principle and Categorical Theories. J. Ross Quinlan |
| 1994 | To Discount or Not to Discount in Reinforcement Learning: A Case Study Comparing R Learning and Q Learning. Sridhar Mahadevan |
| 1994 | Towards a Better Understanding of Memory-based Reasoning Systems. John Rachlin, Simon Kasif, Steven Salzberg, David W. Aha |
| 1994 | Using Genetic Search to Refine Knowledge-based Neural Networks. David W. Opitz, Jude W. Shavlik |
| 1994 | Using Sampling and Queries to Extract Rules from Trained Neural Networks. Mark W. Craven, Jude W. Shavlik |