| 1999 | A Method of Similarity-Driven Knowledge Revision for Type Specializations. Nobuhiro Morita, Makoto Haraguchi, Yoshiaki Okubo |
| 1999 | A Note on Support Vector Machine Degeneracy. Ryan M. Rifkin, Massimiliano Pontil, Alessandro Verri |
| 1999 | Algebraic Analysis for Singular Statistical Estimation. Sumio Watanabe |
| 1999 | Algorithmic Learning Theory, 10th International Conference, ALT '99, Tokyo, Japan, December 6-8, 1999, Proceedings Osamu Watanabe, Takashi Yokomori |
| 1999 | Boolean Formulas are Hard to Learn for most Gate Bases. Víctor Dalmau |
| 1999 | Complexity in the Case against Accuracy: When Building one Function-Free Horn Clause is as Hard as Any. Richard Nock |
| 1999 | Extended Stochastic Complexity and Minimax Relative Loss Analysis. Kenji Yamanishi |
| 1999 | Faster Near-Optimal Reinforcement Learning: Adding Adaptiveness to the E Carlos Domingo |
| 1999 | Finding Relevant Variables in PAC Model with Membership Queries. David Guijarro, Jun Tarui, Tatsuie Tsukiji |
| 1999 | Flattening and Implication. Kouichi Hirata |
| 1999 | Generalization Error of Limear Neural Networks in Unidentifiable Cases. Kenji Fukumizu |
| 1999 | Genral Linear Relations among Different Types of Predictive Complexity. Yuri Kalnishkan |
| 1999 | Induction of Logic Programs Based on psi-Terms. Yutaka Sasaki |
| 1999 | Inductive Learning with Corroboration. Phil Watson |
| 1999 | Learnability of Enumerable Classes of Recursive Functions from "Typical" Examples. Jochen Nessel |
| 1999 | Learning Minimal Covers of Functional Dependencies with Queries. Montserrat Hermo, Víctor Lavín |
| 1999 | Learning Real Polynomials with a Turing Machine. Dennis Cheung |
| 1999 | Learning from Random Text. Peter Rossmanith |
| 1999 | On Learning Unions of Pattern Languages and Tree Patterns. Sally A. Goldman, Stephen Kwek |
| 1999 | On the Strength of Incremental Learning. Steffen Lange, Gunter Grieser |
| 1999 | On the Uniform Learnability of Approximations to Non-Recursive Functions. Frank Stephan, Thomas Zeugmann |
| 1999 | On the V Theodoros Evgeniou, Massimiliano Pontil |
| 1999 | PAC Learning with Nasty Noise. Nader H. Bshouty, Nadav Eiron, Eyal Kushilevitz |
| 1999 | Positive and Unlabeled Examples Help Learning. Francesco De Comité, François Denis, Rémi Gilleron, Fabien Letouzey |
| 1999 | Predicting Nearly as well as the best Pruning of a Planar Decision Graph. Eiji Takimoto, Manfred K. Warmuth |
| 1999 | Tailoring Representations to Different Requirements. Katharina Morik |
| 1999 | The Computational Limits to the Cognitive Power of the Neuroidal Tabula Rasa. Jirí Wiedermann |
| 1999 | The Consistency Dimension and Distribution-Dependent Learning from Queries (Extended Abstract). José L. Balcázar, Jorge Castro, David Guijarro, Hans Ulrich Simon |
| 1999 | The VC-Dimension of Subclasses of Pattern. Andrew R. Mitchell, Tobias Scheffer, Arun Sharma, Frank Stephan |
| 1999 | Theoretical Views of Boosting and Applications. Robert E. Schapire |