11. ALT 2000: Sydney, Australia

@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
  Electronic Edition (Springer LINK) BibTeX
• Thomas G. Dietterich:
  The Divide-and-Conquer Manifesto. 13-26
  Electronic Edition (Springer LINK) BibTeX
• Osamu Watanabe:
  Sequential Sampling Techniques for Algorithmic Learning Theory. 27-40
  Electronic Edition (Springer LINK) BibTeX

Regular Contributions

Statistical Learning

• Péter Gács, John Tromp, Paul M. B. Vitányi:
  Towards an Algorithmic Statistics. 41-55
  Electronic Edition (Springer LINK) BibTeX
• Leigh J. Fitzgibbon, Lloyd Allison, David L. Dowe:
  Minimum Message Length Grouping of Ordered Data. 56-70
  Electronic Edition (Springer LINK) BibTeX
• Fabien Letouzey, François Denis, Rémi Gilleron:
  Learning from Positive and Unlabeled Examples. 71-85
  Electronic Edition (Springer LINK) BibTeX

Inductive Inference

• Jochen Nessel, Steffen Lange:
  Learning Erasing Pattern Languages with Queries. 86-100
  Electronic Edition (Springer LINK) BibTeX
• Gunter Grieser, Steffen Lange, Thomas Zeugmann:
  Learning Recursive Concepts with Anomalies. 101-115
  Electronic Edition (Springer LINK) BibTeX
• Henning Fernau:
  Identification of Function Distinguishable Languages. 116-130
  Electronic Edition (Springer LINK) BibTeX
• Eric McCreath:
  A Probabilistic Identification Result. 131-140
  Electronic Edition (Springer LINK) BibTeX

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
  Electronic Edition (Springer LINK) BibTeX
• Akihiro Yamamoto, Bertram Fronhöfer:
  Hypotheses Finding via Residue Hypotheses with the Resolution Principle. 156-165
  Electronic Edition (Springer LINK) BibTeX
• Yuhsuke Itoh, Makoto Haraguchi:
  Conceptual Classifications Guided by a Concept Hierarchy. 166-178
  Electronic Edition (Springer LINK) BibTeX
• Ken Satoh:
  Learning Taxonomic Relation by Case-Based Reasoning. 179-193
  Electronic Edition (Springer LINK) BibTeX

Complexity

• Tobias Scheffer:
  Average-Case Analysis of Classification Algorithms for Boolean Functions and Decision Trees. 194-208
  Electronic Edition (Springer LINK) BibTeX
• Daya Ram Gaur, Ramesh Krishnamurti:
  Self-Duality of Bounded Monotone Boolean Functions and Related Problems. 209-223
  Electronic Edition (Springer LINK) BibTeX
• Richard Nock, Marc Sebban:
  Sharper Bounds for the Hardness of Prototype and Feature Selection. 224-237
  Electronic Edition (Springer LINK) BibTeX
• Kouichi Hirata:
  On the Hardness of Learning Acyclic Conjunctive Queries. 238-251
  Electronic Edition (Springer LINK) BibTeX

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
  Electronic Edition (Springer LINK) BibTeX
• Bhaskar DasGupta, Barbara Hammer:
  On Approximate Learning by Multi-layered Feedforward Circuits. 264-278
  Electronic Edition (Springer LINK) BibTeX
• Eiji Takimoto, Manfred K. Warmuth:
  The Last-Step Minimax Algorithm. 279-290
  Electronic Edition (Springer LINK) BibTeX
• Jan C. Bioch, Viara Popova:
  Rough Sets and Ordinal Classification. 291-305
  Electronic Edition (Springer LINK) BibTeX

Support Vector Machines

• Theodoros Evgeniou, Massimiliano Pontil:
  A Note on the Generalization Performance of Kernel Classifiers with Margin. 306-315
  Electronic Edition (Springer LINK) BibTeX
• Massimiliano Pontil, Sayan Mukherjee, Federico Girosi:
  On the Noise Model of Support Vector Machines Regression. 316-324
  Electronic Edition (Springer LINK) BibTeX
• Craig Saunders, Alexander Gammerman, Volodya Vovk:
  Computationally Efficient Transductive Machines. 325-333
  Electronic Edition (Springer LINK) BibTeX