Articoli correlati a Algorithmic Learning Theory: 9th International Conference,...
Algorithmic Learning Theory: 9th International Conference, ALT'98, Otzenhausen, Germany, October 8-10, 1998 Proceedings - Brossura
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Table of Contents Editors'Introduction M.M. Richter, C.H. Smith, R. Wiehagen, and T. Zeugmann Inductive Logic Programming and Data Mining Scalability Issues in Inductive Logic Programming (Invited Lecture) S. Wrobel Inductive Inference Learning to Win Process-Control Games Watching Game-Masters J. Case, M. Ott, A. Sharma, and F. Stephan Closedness Properties in EX-identification of Recursive Functions K. Apsitis, R. Freivalds, R. Simanovskis, and J. Smotrovs Learning via Queries Lower Bounds for the Complexity of Learning Half-Spaces with Membership Queries V.N. Shevchenko, and N.Yu. Zolotykh Cryptographic Limitations on Parallelizing Membership and Equivalence Queries with Applications to Random Self-Reductions M. Fischlin Learning Unary Output Two-Tape Automata from Multiplicity and Equivalence Queries G. Melideo, and S. Varricchio Computational Aspects of Parallel Attribute-Efficient Learning P. Damaschke PAC Learning from Positive Statistical Queries F. Denis Prediction Algorithms Structured Weight-Based Prediction Algorithms (Invited Lecture) A. Maruoka, and E. Takimoto Inductive Logic Programming Learning from Entailment of Logic Programs with Local Variables M.K.R. Krishna Rao, and A. Sattar Logical Aspects of Several Bottom-Up Fittings A. Yamamoto Learnability of Translations from Positive Examples N. Sugimoto Analysis of Case-Based Representability of Boolean Functions by Monotone Theory K. Satoh Learning Formal Languages Locality, Reversibility, and Beyond: Learning Languages from Positive Data T. Head, S. Kobayashi, and T. Yokomori Synthesizing Learners Tolerating Computable Noisy Data J. Case, and S. Jain Characteristic Sets for Unions of Regular Pattern Languages and Compactness M. Sato, Y. Mukouchi, and D. Zheng Finding a One-Variable Pattern from Incomplete Data H. Sakamoto A Fast Algorithm for Discovering Optimal String Patterns in Large Text Databases H. Arimura, A. Wataki, R. Fujino, and S. Arikawa Inductive Inference A Comparison of IdentificationCriteria for Inductive Inference of Recursive Real-Valued Functions E. Hirowatari, and S. Arikawa Predictive Learning Models for Concept Drift J. Case, S. Jain, S. Kaufmann, A. Sharma, and F. Stephan Learning with Refutation S. Jain Comparing the Power of Probabilistic Learning and Oracle Identification under Monotonicity Constraints L. Meyer Learning Algebraic Structures from Text Using Semantical Knowledge F. Stephan and Y. Ventsov Inductive Logic Programming Lime: A System for Learning Relations (Invited Lecture) E. McCreath, and A. Sharma Miscellaneous On the Sample Complexity for Neural Trees M. Schmitt Learning Sub-Classes of Monotone DNF on the Uniform Distribution K. Verbeurgt Using Attribute Grammars for Description of Inductive Inference Search Space U. Sarkans, and J. Barzdins Towards the Validation of Inductive Learning Systems G. Grieser, K.P. Jantke, and S. Lange Consistent Polynomial Identification in the Limit W. Stein Author Index
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