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ORCID12. ALT 2001: Washington, DC, USA
- Naoki Abe, Roni Khardon, Thomas Zeugmann:
Algorithmic Learning Theory, 12th International Conference, ALT 2001, Washington, DC, USA, November 25-28, 2001, Proceedings. Lecture Notes in Computer Science 2225, Springer 2001, ISBN 3-540-42875-5 - Naoki Abe, Roni Khardon, Thomas Zeugmann:
Editors' Introduction. 1-8
Invited Papers
- Setsuo Arikawa:
The Discovery Science Project in Japan. 9-11 - Dana Angluin:
Queries Revisited. 12-31 - Paul R. Cohen, Tim Oates, Niall M. Adams, Carole R. Beal:
Robot Baby 2001. 32-56 - Lindley Darden:
Discovering Mechanisms: A Computational Philosophy of Science Perspective. 57-57 - Ben Shneiderman:
Inventing Discovery Tools: Combining Information Visualization with Data Mining. 58
Complexity of Learning
- Ke Yang:
On Learning Correlated Boolean Functions Using Statistical Queries. 59-76 - Kohei Hatano:
A Simpler Analysis of the Multi-way Branching Decision Tree Boosting Algorithm. 77-91 - Jirí Síma:
Minimizing the Quadratic Training Error of a Sigmoid Neuron Is Hard. 92-105
Support Vector Machines
- Ken Sadohara:
Learning of Boolean Functions Using Support Vector Machines. 106-118 - José L. Balcázar, Yang Dai, Osamu Watanabe:
A Random Sampling Technique for Training Support Vector Machines. 119-134
New Learning Models
- Ashutosh Garg, Dan Roth:
Learning Coherent Concepts. 135-150 - Stephen Kwek:
Learning Intermediate Concepts. 151-166 - Daniel R. Dooly, Sally A. Goldman, Stephen Kwek:
Real-Valued Multiple-Instance Learning with Queries. 167-180
Online Learning
- Yuri Kalnishkan, Michael V. Vyugin, Volodya Vovk:
Loss Functions, Complexities, and the Legendre Transformation. 181-189 - Michael V. Vyugin, Vladimir V. V'yugin:
Non-linear Inequalities between Predictive and Kolmogorov Complexities. 190-204
Inductive Inference
- Sanjay Jain, Frank Stephan:
Learning by Switching Type of Information. 205-218 - Sanjay Jain, Frank Stephan:
Learning How to Separate. 219-234 - Sanjay Jain, Yen Kaow Ng, Tiong Seng Tay:
Learning Languages in a Union. 235-250 - Sandra Zilles:
On the Comparison of Inductive Inference Criteria for Uniform Learning of Finite Classes. 251-266
Refutable Inductive Inference
- Yasuhito Mukouchi, Masako Sato:
Refutable Language Learning with a Neighbor System. 267-282 - Sanjay Jain, Efim B. Kinber, Rolf Wiehagen, Thomas Zeugmann:
Learning Recursive Functions Refutably. 283-298 - Wolfgang Merkle, Frank Stephan:
Refuting Learning Revisited. 299-314
Learning Structures and Languages
- Hiroki Arimura, Hiroshi Sakamoto, Setsuo Arikawa:
Efficient Learning of Semi-structured Data from Queries. 315-331 - Steffen Lange, Gunter Grieser, Klaus P. Jantke:
Extending Elementary Formal Systems. 332-347 - François Denis, Aurélien Lemay, Alain Terlutte:
Learning Regular Languages Using RFSA. 348-363 - Colin de la Higuera, Jean-Christophe Janodet:
Inference of omega-Languages from Prefixes. 364-378
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