Abstract is missing.
- Managing Complexity in Neurodial CircuitsLeslie G. Valiant. 1-11
- Learnability of Exclusive-Or Expansion Based on Monotone DNF FormulasEiji Takimoto, Yoshifumi Sakai, Akira Maruoka. 12-25
- Improved Bounds about On-line Learning of Smooth Functions of a Single VariablePhilip M. Long. 26-36
- Query Learning of Bounded-Width OBDDsAtsuyoshi Nakamura. 37-50
- Learning a Representation for Optimizable FormulasHans Kleine Büning, Theodor Lettmann. 51-58
- Limits of Exact Algorithms For Inference of Minimum Size Finite State MachinesArlindo L. Oliveira, Stephen Edwards. 59-66
- Genetic Fitness Optimization Using Rapidly Mixing Markov ChainsPaul M. B. Vitányi. 67-82
- The Kindest Cut: Minimum Message Length SegmentationRohan A. Baxter, Jonathan J. Oliver. 83-90
- Reducing Complexity of Decision Trees with Two Variable TestsR. A. Pearson, E. K. T. Smith. 91-99
- The Complexity of Exactly Learning Algebraic Concepts. (Extended Abstract)Vikraman Arvind, N. V. Vinodchandran. 100-112
- Efficient Learning of Real Time Two-Counter Automata (Extended Abstract)Amr F. Fahmy, Robert S. Roos. 113-126
- Cost-Sensitive Feature Reduction Applied to a Hybrid Genetic AlgorithmNada Lavrac, Dragan Gamberger, Peter D. Turney. 127-134
- Effects of Feature Selection with Blurring on NeuroFuzzy SystemsSelwyn Piramuthu. 135-142
- Boosting First-Order LearningJ. Ross Quinlan. 143-155
- Incorporating Hypothetical Knowledge into the Process of Inductive SynthesisJanis Barzdins, Ugis Sarkans. 156-168
- Induction of Constraint Logic ProgramsLionel Martin, Christel Vrain. 169-176
- Constructive Learning of Translations Based on DictionariesNoriko Sugimoto, Kouichi Hirata, Hiroki Ishizaka. 177-184
- Inductive Logic Programming Beyond Logical ImplicationJianguo Lu, Jun Arima. 185-198
- Noise Elimination in Inductive Concept Learning: A Case Study in Medical DiagnosoisDragan Gamberger, Nada Lavrac, Saso Dzeroski. 199-212
- MML Estimation of the Parameters of the Sherical Fisher DistributionDavid L. Dowe, Jonathan J. Oliver, Chris S. Wallace. 213-227
- Learning by ErasingSteffen Lange, Rolf Wiehagen, Thomas Zeugmann. 228-241
- On Learning and Co-learning of Minimal ProgramsSanjay Jain, Efim B. Kinber, Rolf Wiehagen. 242-255
- Inductive Inference of Unbounded Unions of Pattern Languages from Positive DataTakeshi Shinohara, Hiroki Arimura. 256-271
- A Class of Prolog Programs Inferable from Positive DataM. R. K. Krishna Rao. 272-284
- Vacillatory and BC Learning on Noisy DataJohn Case, Sanjay Jain, Frank Stephan. 285-298
- Transformations that Preserve LearnabilityAndris Ambainis, Rusins Freivalds. 299-311
- Probabilitic Limit Identification up to Small SetsJuris Viksna. 312-324
- Reflecting Inductive Inference Machines and Its Improvement by TherapyGunter Grieser. 325-336