Learning Theory

Peter Auer

ISBN 10: 3540265562 / ISBN 13: 9783540265566

Published by Springer, Springer Jun 2005, 2005

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -This volume contains papers presented at the Eighteenth Annual Conference on Learning Theory (previously known as the Conference on Computational Learning Theory) held in Bertinoro, Italy from June 27 to 30, 2005. The technical program contained 45 papers selected from 120 submissions, 3 open problems selected from among 5 contributed, and 2 invited lectures. The invited lectures were given by Sergiu Hart on ¿Uncoupled Dynamics and Nash Equilibrium¿, and by Satinder Singh on ¿Rethinking State, Action, and Reward in Reinforcement Learning¿. These papers were not included in this volume. The Mark Fulk Award is presented annually for the best paper co-authored by a student. The student selected this year was Hadi Salmasian for the paper titled ¿The Spectral Method for General Mixture Models¿ co-authored with Ravindran Kannan and Santosh Vempala. The number of papers submitted to COLT this year was exceptionally high. In addition to the classical COLT topics, we found an increase in the number of submissions related to novel classi cation scenarios such as ranking. This - crease re ects a healthy shift towards more structured classi cation problems, which are becoming increasingly relevant to practitioners.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 712 pp. Englisch.

Seller Inventory # 9783540265566

Bibliographic Details

• Title: Learning Theory
• Publisher: Springer, Springer Jun 2005
• Publication Date: 2005
• Language: English
• ISBN 10: 3540265562
• ISBN 13: 9783540265566
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 38D millimeters 235 millimeters width by 155 millimeters height by 38 millimeters depth
• Weight: 1060 grams

About this title

Synopsis

This volume contains papers presented at the Eighteenth Annual Conference on Learning Theory (previously known as the Conference on Computational Learning Theory) held in Bertinoro, Italy from June 27 to 30, 2005. The technical program contained 45 papers selected from 120 submissions, 3 open problems selected from among 5 contributed, and 2 invited lectures. The invited lectures were given by Sergiu Hart on “Uncoupled Dynamics and Nash Equilibrium”, and by Satinder Singh on “Rethinking State, Action, and Reward in Reinforcement Learning”. These papers were not included in this volume. The Mark Fulk Award is presented annually for the best paper co-authored by a student. The student selected this year was Hadi Salmasian for the paper titled “The Spectral Method for General Mixture Models” co-authored with Ravindran Kannan and Santosh Vempala. The number of papers submitted to COLT this year was exceptionally high. In addition to the classical COLT topics, we found an increase in the number of submissions related to novel classi?cation scenarios such as ranking. This - crease re?ects a healthy shift towards more structured classi?cation problems, which are becoming increasingly relevant to practitioners.