ALT 2000

25 papers

A New Framework for Discovering Knowledge from Two-Dimensional Structured Data Using Layout Formal Graph System Tomoyuki Uchida, Yuko Itokawa, Takayoshi Shoudai, Tetsuhiro Miyahara, Yasuaki Nakamura

A Note on the Generalization Performance of Kernel Classifiers with Margin Theodoros Evgeniou, Massimiliano Pontil

A Probabilistic Identification Result Eric McCreath

Average-Case Analysis of Classification Algorithms for Boolean Functions and Decision Trees Tobias Scheffer

Computationally Efficient Transductive Machines Craig Saunders, Alex Gammerman, Volodya Vovk

Conceptual Classifications Guided by a Concept Hierarchy Yuhsuke Itoh, Makoto Haraguchi

Dynamic Hand Gesture Recognition Based on Randomized Self-Organizing mAP Algorithm Tarek El. Tobely, Yuichiro Yoshiki, Ryuichi Tsuda, Naoyuki Tsuruta, Makoto Amamiya

Extracting Information from the Web for Concept Learning and Collaborative Filtering William W. Cohen

Hypotheses Finding via Residue Hypotheses with the Resolution Principle Akihiro Yamamoto, Bertram Fronhöfer

Identification of Function Distinguishable Languages Henning Fernau

Learning Erasing Pattern Languages with Queries Jochen Nessel, Steffen Lange

Learning from Positive and Unlabeled Examples Fabien Letouzey, François Denis, Rémi Gilleron

Learning Recursive Concepts with Anomalies Gunter Grieser, Steffen Lange, Thomas Zeugmann

Learning Taxonomic Relation by Case-Based Reasoning Ken Satoh

Minimum Message Length Grouping of Ordered Data Leigh J. Fitzgibbon, Lloyd Allison, David L. Dowe

On Approximate Learning by Multi-Layered Feedforward Circuits Bhaskar DasGupta, Barbara Hammer

On the Hardness of Learning Acyclic Conjunctive Queries Kouichi Hirata

On the Noise Model of Support Vector Machines Regression Massimiliano Pontil, Sayan Mukherjee, Federico Girosi

Rough Sets and Ordinal Classification Jan C. Bioch, Viara Popova

Self-Duality of Bounded Monotone Boolean Functions and Related Problems Daya Ram Gaur, Ramesh Krishnamurti

Sequential Sampling Techniques for Algorithmic Learning Theory Osamu Watanabe

Sharper Bounds for the Hardness of Prototype and Feature Selection Richard Nock, Marc Sebban

The Divide-and-Conquer Manifesto Thomas G. Dietterich

The Last-Step Minimax Algorithm Eiji Takimoto, Manfred K. Warmuth

Towards an Algorithmic Statistics Péter Gács, John Tromp, Paul M. B. Vitányi