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ORCID11. ALT 2000: Sydney, Australia
- Hiroki Arimura
, Sanjay Jain, Arun Sharma:
Algorithmic Learning Theory, 11th International Conference, ALT 2000, Sydney, Australia, December 11-13, 2000, Proceedings. Lecture Notes in Computer Science 1968, Springer 2000, ISBN 3-540-41237-9
Invited Lectures
- William W. Cohen:
Extracting Information from the Web for Concept Learning and Collaborative Filtering. 1-12 - Thomas G. Dietterich:
The Divide-and-Conquer Manifesto. 13-26 - Osamu Watanabe:
Sequential Sampling Techniques for Algorithmic Learning Theory. 27-40
Regular Contributions
Statistical Learning
- Péter Gács, John Tromp, Paul M. B. Vitányi:
Towards an Algorithmic Statistics. 41-55 - Leigh J. Fitzgibbon, Lloyd Allison, David L. Dowe:
Minimum Message Length Grouping of Ordered Data. 56-70 - Fabien Letouzey, François Denis, Rémi Gilleron:
Learning from Positive and Unlabeled Examples. 71-85
Inductive Inference
- Jochen Nessel, Steffen Lange:
Learning Erasing Pattern Languages with Queries. 86-100 - Gunter Grieser, Steffen Lange, Thomas Zeugmann:
Learning Recursive Concepts with Anomalies. 101-115 - Henning Fernau:
Identification of Function Distinguishable Languages. 116-130 - Eric McCreath:
A Probabilistic Identification Result. 131-140
ILP
- Tomoyuki Uchida, Yuko Itokawa, Takayoshi Shoudai, Tetsuhiro Miyahara, Yasuaki Nakamura:
A New Framework for Discovering Knowledge from Two-Dimensional Structured Data Using Layout Formal Graph System. 141-155 - Akihiro Yamamoto, Bertram Fronhöfer:
Hypotheses Finding via Residue Hypotheses with the Resolution Principle. 156-165 - Yuhsuke Itoh, Makoto Haraguchi:
Conceptual Classifications Guided by a Concept Hierarchy. 166-178 - Ken Satoh:
Learning Taxonomic Relation by Case-Based Reasoning. 179-193
Complexity
- Tobias Scheffer:
Average-Case Analysis of Classification Algorithms for Boolean Functions and Decision Trees. 194-208 - Daya Ram Gaur, Ramesh Krishnamurti:
Self-Duality of Bounded Monotone Boolean Functions and Related Problems. 209-223 - Richard Nock, Marc Sebban:
Sharper Bounds for the Hardness of Prototype and Feature Selection. 224-237 - Kouichi Hirata:
On the Hardness of Learning Acyclic Conjunctive Queries. 238-251
Neural Network and Other Paradigms
- Tarek El. Tobely, Yuichiro Yoshiki, Ryuichi Tsuda, Naoyuki Tsuruta, Makoto Amamiya:
Dynamic Hand Gesture Recognition Based on Randomized Self-Organizing Map Algorithm. 252-263 - Bhaskar DasGupta, Barbara Hammer:
On Approximate Learning by Multi-layered Feedforward Circuits. 264-278 - Eiji Takimoto, Manfred K. Warmuth:
The Last-Step Minimax Algorithm. 279-290 - Jan C. Bioch, Viara Popova:
Rough Sets and Ordinal Classification. 291-305
Support Vector Machines
- Theodoros Evgeniou, Massimiliano Pontil:
A Note on the Generalization Performance of Kernel Classifiers with Margin. 306-315 - Massimiliano Pontil, Sayan Mukherjee, Federico Girosi:
On the Noise Model of Support Vector Machines Regression. 316-324 - Craig Saunders, Alex Gammerman, Volodya Vovk:
Computationally Efficient Transductive Machines. 325-333
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