11. ALT 2000: Sydney, Australia

Hiroki Arimura, Sanjay Jain, Arun Sharma (Eds.): 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

@proceedings{DBLP:conf/alt/2000,
  editor    = {Hiroki Arimura and
               Sanjay Jain and
               Arun Sharma},
  title     = {Algorithmic Learning Theory, 11th International Conference, ALT
               2000, Sydney, Australia, December 11-13, 2000, Proceedings},
  booktitle = {ALT},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {1968},
  year      = {2000},
  isbn      = {3-540-41237-9},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

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, Alexander Gammerman, Volodya Vovk:
Computationally Efficient Transductive Machines. 325-333

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