Abstract is missing.
- Sample Compression, Learnability, and the Vapnik-Chervonenkis DimensionManfred K. Warmuth. 1-2
- Learning Boxes in High DimensionAmos Beimel, Eyal Kushilevitz. 3-15
- Learning Monotone Term Decision ListsDavid Guijarro, Víctor Lavín, Vijay Raghavan. 16-26
- Learning Matrix Functions over RingsNader H. Bshouty, Christino Tamon, David K. Wilson. 27-37
- Learning from Incomplete Boundary Queries Using Split Graphs and HypergraphsRobert H. Sloan, György Turán. 38-50
- Generalization of the PAC-Model for Learning with Partial InformationJoel Ratsaby, Vitaly Maiorov. 51-65
- Monotonic and Dual-Monotonic Probabilistic Language Learning of Indexed Families with High ProbabilityLéa Meyer. 66-78
- Closedness Properties in Team Learning of Recursive FunctionsJuris Smotrovs. 79-93
- Structural Measures for Games and Process Control in the Branch Learning ModelMatthias Ott, Frank Stephan. 94-108
- Learning Under Persistent DriftYoav Freund, Yishay Mansour. 109-118
- Randomized Hypotheses and Minimum Disagreement Hypotheses for Learning with NoiseNicolò Cesa-Bianchi, Paul Fischer, Eli Shamir, Hans-Ulrich Simon. 119-133
- Learning When to Trust Which ExpertsDavid P. Helmbold, Stephen Kwek, Leonard Pitt. 134-149
- On Learning Programs and Small Depth CircuitsFrancesco Bergadano, Nader H. Bshouty, Christino Tamon, Stefano Varricchio. 150-161
- Learning Nearly Monotone ::::k::::-term DNFJorge Castro, David Guijarro, Víctor Lavín. 162-170
- Optimal Attribute-Efficient Learning of Disjunction, Parity and Threshold FunctionsRyuhei Uehara, Kensei Tsuchida, Ingo Wegener. 171-184
- Learning Pattern Languages Using QueriesSatoshi Matsumoto, Ayumi Shinohara. 185-197
- On Fast and Simple Algorithms for Finding Maximal Subarrays and Applications in Learning TheoryAndreas Birkendorf. 198-209
- A Minimax Lower Bound for Empirical Quantizer DesignPeter L. Bartlett, Tamás Linder, Gábor Lugosi. 210-222
- Vapnik-Chervonenkis Dimension of Recurrent Neural NetworksPascal Koiran, Eduardo D. Sontag. 223-237
- Linear Algebraic Proofs of VC-Dimension Based InequalitiesLeonid Gurvits. 238-250
- A Result Relating Convex ::::n::::-Widths to Covering Numbers with some Applications to Neural NetworksJonathan Baxter, Peter L. Bartlett. 251-259
- Confidence Estimates of Classification Accuracy on New ExamplesJohn Shawe-Taylor. 260-271
- Learning Formulae from Elementary FactsJanis Barzdins, Rusins Freivalds, Carl H. Smith. 272-285
- Control Structures in Hypothesis Spaces: The Influence on LearningJohn Case, Sanjay Jain, Mandayam Suraj. 286-300
- Ordinal Mind Change Complexity of Language IdentificationAndris Ambainis, Sanjay Jain, Arun Sharma. 301-315
- Robust Learning with Infinite Additional InformationSusanne Kaufmann, Frank Stephan. 316-330