Abstract is missing.
- Identifying and Using Patterns in Sequential DataPhilip Laird. 1-18
- Learning Theory Toward Genome InformaticsSatoru Miyano. 19-36
- Optimal Layered Learning: A PAC Approach to Incremental SamplingStephen Muggleton. 37-44
- Reformulation of Explanation by Linear Logic: Toward Logic for ExplanationJun Arima, Hajime Sawamura. 45-57
- Towards Efficient Inductive Synthesis of Expressions from Input/Output ExamplesJanis Barzdins, Guntis Barzdins, Kalvis Apsitis, Ugis Sarkans. 59-72
- A Typed Lambda-Calculus for Proving-by-Example and Bottom-Up Generalization ProcedureMasami Hagiya. 73-86
- Case-Based Representation and Learning of Pattern LanguagesKlaus P. Jantke, Steffen Lange. 87-100
- Inductive ResolutionTaisuke Sato, Sumitaka Akiba. 101-110
- Generalized Unification as Background Knowledge in Learning Logic ProgramsAkihiro Yamamoto. 111-122
- Inductive Inference Machines That Can Refute Hypothesis SpacesYasuhito Mukouchi, Setsuo Arikawa. 123-136
- On the Duality Between Mechanistic Learners and What it is They LearnRusins Freivalds, Carl H. Smith. 137-149
- On Aggregating Teams of Learning MachinesSanjay Jain, Arun Sharma. 150-163
- Learning With Growing QualityJuris Viksna. 164-172
- Use of Reduction Arguments in Determining Popperian FIN-Type Learning CapabilitiesRobert P. Daley, Bala Kalyanasundaram. 173-186
- Properties of Language Classes With Finite ElasticityTakashi Moriyama, Masako Sato. 187-196
- Uniform Charakterizations of Various Kinds of Language LearningShyam Kapur. 197-208
- How to Invent Characterizable Inference Methods for Regular LanguagesTimo Knuutila. 209-222
- Neural Discriminant AnalysisJorge Ricardo Cuellar, Hans-Ulrich Simon. 223-236
- A New Algorithm for Automatic Configuration of Hidden Markov ModelsMakoto Iwayama, Nitin Indurkhya, Hiroshi Motoda. 237-250
- On the VC-Dimension of Depth Four Threshold Circuits and the Complexity of Boolean-Valued FunctionsAkito Sakurai. 251-264
- On the Sample Complexity of Consistent Learning with One-Sided ErrorEiji Takimoto, Akira Maruoka. 265-278
- Complexity of Computing Vapnik-Chervonenkis DimensionAyumi Shinohara. 279-287
- Epsilon-Approximations of ::::k::::-label SpacesSusumu Hasegawa, Hiroshi Imai, Masaki Ishiguro. 288-299
- Exact Learning of Linear Combinations of Monotone Terms from Function Value QueriesAtsuyoshi Nakamura, Naoki Abe. 300-313
- Thue Systems and DNA - A Learning Algorithm for a SubclassRani Siromoney, D. G. Thomas, K. G. Subramanian, V. Rajkumar Dare. 314-327
- The VC-Dimensions of Finite Automata with ::::n:::: StatesYoshiyasu Ishigami, Sei ichi Tani. 328-341
- Unifying Learning Methods by Colored DigraphsKenichi Yoshida, Hiroshi Motoda, Nitin Indurkhya. 342-355
- A Perceptual Criterion for Visually Controlling LearningMasaki Suwa, Hiroshi Motoda. 356-369
- Learning Strategies Using Decision ListsSatoshi Kobayashi. 370-383
- A Decomposition Based Induction Model for Discovering Concept Clusters from DatabasesNing Zhong, Setsuo Ohsuga. 384-397
- Algebraic Structure of Some Learning SystemsJean-Gabriel Ganascia. 398-409
- Induction of Probabilistic Rules Based on Rough Set TheoryShusaku Tsumoto, Hiroshi Tanaka. 410-423