Extracting Information from the Web for Concept Learning
and Collaborative Filtering,
Abstract.
| | 1 - 12
|
William W. Cohen
| |
|
The Divide-and-Conquer Manifesto,
Abstract.
| | 13 - 26
|
Thomas G. Dietterich
| |
|
Sequential Sampling Techniques for Algorithmic Learning Theory,
Abstract.
| | 27 - 40
|
Osamu Watanabe
|
| |
|
| |
|
REGULAR CONTRIBUTIONS
| |
|
| |
|
|
| |
|
| |
|
Statistical Learning
| |
|
| |
|
Towards an Algorithmic Statistics,
Abstract.
| | 41 - 55
|
Peter Gács,
John Tromp, and
Paul Vitányi
| |
|
Minimum Message Length Grouping of Ordered Data,
Abstract.
| | 56 - 70
|
Leigh J. Fitzgibbon,
Lloyd Allison, and
David L. Dowe
| |
|
Learning from Positive and Unlabeled Examples,
Abstract.
| | 71 - 85
|
Fabien Letouzey,
François Denis,
and
Rémi Gilleron
|
| |
|
| |
|
Inductive Inference
| |
|
| |
|
Learning Erasing Pattern Languages with Queries,
Abstract.
| | 86 - 100
|
Jochen Nessel and Steffen Lange
| |
|
Learning Recursive Concepts with Anomalies,
Abstract.
| | 101 - 115
|
Gunter Grieser,
Steffen Lange, and
Thomas Zeugmann
| |
|
Identification of Function Distinguishable Languages,
Abstract.
| | 116 - 130
|
Henning Fernau
| |
|
A Probabilistic Identification Result,
Abstract.
| | 131 - 140
|
Eric McCreath
|
| |
|
| |
|
ILP
| |
|
| |
|
A New Framework for Discovering Knowledge from Two-Dimensional
Structured Data Using Layout Formal Graph System,
Abstract.
| | 141 - 155
|
Tomoyuki Uchida,
Yuko Itokawa,
Takayoshi Shoudai,
Tetsuhiro Miyahara,
and
Yasuaki Nakamura
| |
|
Hypotheses Finding via Residue Hypotheses with the Resolution Principle,
Abstract.
| | 156 - 165
|
Akihiro Yamamoto
and Bertram Fronhöfer
| |
|
Conceptual Classifications Guided by a Concept Hierarchy,
Abstract.
| | 166 - 178
|
Yuhsuke Itoh and
Makoto Haraguchi
| |
|
Learning Taxonomic Relation by Case-Based Reasoning,
Abstract.
| | 179 - 193
|
Ken Satoh
|
| |
|
| |
|
Complexity
| |
|
| |
|
Average-Case Analysis of Classification Algorithms for Boolean Functions and Decision Trees,
Abstract.
| | 194 - 208
|
Tobias Scheffer
| |
|
Self-Duality of Bounded Monotone Boolean Functions and Related Problems,
Abstract.
| | 209 - 223
|
Daya Ram Gaur and
Ramesh Krishnamurti
| |
|
Sharper Bounds for the Hardness of Prototype and Feature Selection,
Abstract.
| | 224 - 237
|
Richard Nock and
Marc Sebban
| |
|
On the Hardness of Learning Acyclic Conjunctive Queries,
Abstract.
| | 238 - 251
|
Kouichi Hirata
|
| |
|
| |
|
Neural Network and Other Paradigms
| |
|
| |
|
Dynamic Hand Gesture Recognition Based on Randomized Self-Organizing Map Algorithm,
Abstract.
| | 252 - 263
|
Tarek El. Tobely, Yuichiro Yoshiki, Ryuichi Tsuda, Naoyuki Tsuruta,
and
Makoto Amamiya
| |
|
On Approximate Learning by Multi-layered Feedforward Circuits,
Abstract.
| | 264 - 278
|
Bhaskar DasGupta and
Barbara Hammer
| |
|
The Last-Step Minimax Algorithm,
Abstract.
| | 279 - 290
|
Eiji Takimoto and
Manfred K. Warmuth
| |
|
Rough Sets and Ordinal Classification,
Abstract.
| | 291 - 305
|
Jan C. Bioch and Viara Popova
|
| |
|
| |
|
Support Vector Machines
| |
|
| |
|
A Note on the Generalization Performance of Kernel Classifiers with Margin,
Abstract.
| | 306 - 315
|
Theodoros Evgeniou
and
Massimiliano Pontil
| |
|
On the Noise Model of Support Vector Machines Regression,
Abstract.
| | 316 - 324
|
Massimiliano Pontil,
Sayan Mukherjee, and
Federico Girosi
| |
|
Computationally Efficient Transductive Machines,
Abstract.
| | 325 - 333
|
Craig Saunders,
Alexander Gammerman, and
Volodya Vovk
| |
|
Author Index
| | 335
|