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ORCID9. ALT 1998: Otzenhausen, Germany
- Michael M. Richter, Carl H. Smith, Rolf Wiehagen, Thomas Zeugmann:
Algorithmic Learning Theory, 9th International Conference, ALT '98, Otzenhausen, Germany, October 8-10, 1998, Proceedings. Lecture Notes in Computer Science 1501, Springer 1998, ISBN 3-540-65013-X - Michael M. Richter, Carl H. Smith, Rolf Wiehagen, Thomas Zeugmann:
Editor's Introduction. 1-10
Inductive Logic Programming and Data Mining
- Stefan Wrobel:
Scalability Issues in Inductive Logic Programming. 11-30
Inductive Inference
- John Case, Matthias Ott, Arun Sharma, Frank Stephan:
Learning to Win Process-Control Games Watching Game-Masters. 31-45 - Kalvis Apsitis, Rusins Freivalds, Raimonds Simanovskis, Juris Smotrovs
:
Closedness Properties in EX-Identification of Recursive Functions. 46-60
Learning via Queries
- Valery N. Shevchenko, Nikolai Yu. Zolotykh:
Lower Bounds for the Complexity of Learning Half-Spaces with Membership Queries. 61-71 - Marc Fischlin:
Cryptographic Limitations on Parallelizing Membership and Equivalence Queries with Applications to Random Self-Reductions. 72-86 - Giovanna Melideo, Stefano Varricchio:
Learning Unary Output Two-Tape Automata from Multiplicity and Equivalence Queries. 87-102 - Peter Damaschke:
Computational Aspects of Parallel Attribute-Efficient Learning. 103-111 - François Denis:
PAC Learning from Positive Statistical Queries. 112-126
Prediction Algorithms
- Akira Maruoka, Eiji Takimoto:
Structured Weight-Based Prediction Algorithms. 127-142
Induchtive Logic Programming
- M. R. K. Krishna Rao, Abdul Sattar:
Learning from Entailment of Logic Programs with Local Variables. 143-157 - Akihiro Yamamoto:
Logical Aspects of Several Bottom-Up Fittings. 158-168 - Noriko Sugimoto:
Learnability of Translations from Positive Examples. 169-178 - Ken Satoh:
Analysis of Case-Based Representability of Boolean Functions by Monotone Theory. 179-190
Learning Formal Languages
- Tom Head, Satoshi Kobayashi, Takashi Yokomori:
Locality, Reversibility, and Beyond: Learning Languages from Positive Data. 191-204 - John Case, Sanjay Jain:
Synthesizing Learners Tolerating Computable Noisy Data. 205-219 - Masako Sato, Yasuhito Mukouchi, Dao Zheng:
Characteristic Sets for Unions of Regular Pattern Languages and Compactness. 220-233 - Hiroshi Sakamoto:
Finding a One-Variable Pattern from Incomplete Data. 234-246 - Hiroki Arimura, Atsushi Wataki, Ryoichi Fujino, Setsuo Arikawa:
A Fast Algorithm for Discovering Optimal String Patterns in Large Text Databases. 247-261
Inductive Inference
- Eiju Hirowatari, Setsuo Arikawa:
A Comparison of Identification Criteria for Inductive Inference of Recursive Real-Valued Functions. 262-275 - John Case, Sanjay Jain, Susanne Kaufmann, Arun Sharma, Frank Stephan:
Predictive Learning Models for Concept Drift. 276-290 - Sanjay Jain:
Learning with Refutation. 291-305 - Léa Meyer:
Comparing the Power of Probabilistic Learning and Oracle Identification Under Monotonicity Constraints. 306-320 - Frank Stephan, Yuri Ventsov:
Learning Algebraic Structures from Text Using Semantical Knowledge. 321-335
Inductive Logic Programming
- Eric McCreath, Arun Sharma:
LIME: A System for Learning Relations. 336-374
Miscellaneous
- Michael Schmitt:
On the Sample Complexity for Neural Trees. 375-384 - Karsten A. Verbeurgt:
Learning Sub-classes of Monotone DNF on the Uniform Distribution. 385-399 - Ugis Sarkans, Janis Barzdins:
Using Attribute Grammars for Description of Inductive Inference Search Space. 400-408 - Gunter Grieser, Klaus P. Jantke, Steffen Lange:
Towards the Validation of Inductive Learning Systems. 409-423 - Werner Stein:
Consistent Polynominal Identification in the Limit. 424-438
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