9783540265566-3540265562-Learning Theory: 18th Annual Conference on Learning Theory, COLT 2005, Bertinoro, Italy, June 27-30, 2005, Proceedings (Lecture Notes in Computer Science, 3559)

Learning Theory: 18th Annual Conference on Learning Theory, COLT 2005, Bertinoro, Italy, June 27-30, 2005, Proceedings (Lecture Notes in Computer Science, 3559)

ISBN-13: 9783540265566
ISBN-10: 3540265562
Edition: 2005
Author: Peter Auer, Ron Meir
Publication date: 2005
Publisher: Springer
Format: Paperback 704 pages
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Book details

ISBN-13: 9783540265566
ISBN-10: 3540265562
Edition: 2005
Author: Peter Auer, Ron Meir
Publication date: 2005
Publisher: Springer
Format: Paperback 704 pages

Summary

Learning Theory: 18th Annual Conference on Learning Theory, COLT 2005, Bertinoro, Italy, June 27-30, 2005, Proceedings (Lecture Notes in Computer Science, 3559) (ISBN-13: 9783540265566 and ISBN-10: 3540265562), written by authors Peter Auer, Ron Meir, was published by Springer in 2005. With an overall rating of 4.2 stars, it's a notable title among other books. You can easily purchase or rent Learning Theory: 18th Annual Conference on Learning Theory, COLT 2005, Bertinoro, Italy, June 27-30, 2005, Proceedings (Lecture Notes in Computer Science, 3559) (Paperback) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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.
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