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Download Learning Theory: 17th Annual Conference on Learning Theory, COLT 2004, Banff, Canada, July 1-4, 2004, Proceedings (Lecture Notes in Computer Science) eBook

by John Shawe-Taylor,Yoram Singer

Download Learning Theory: 17th Annual Conference on Learning Theory, COLT 2004, Banff, Canada, July 1-4, 2004, Proceedings (Lecture Notes in Computer Science) eBook
ISBN:
3540222820
Author:
John Shawe-Taylor,Yoram Singer
Category:
Computer Science
Language:
English
Publisher:
Springer; 2004 edition (August 5, 2004)
Pages:
654 pages
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1236 kb
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Lecture Notes in Artificial Intelligence. A Function Representation for Learning in Banach Spaces.

Lecture Notes in Artificial Intelligence. 17th Annual Conference on Learning Theory, COLT 2004, Banff, Canada, July 1-4, 2004, Proceedings. Micchelli, Charles A. (et a.

COLT: International Conference on Computational Learning Theory. Conference proceedings COLT 2004. Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 3120). 17th Annual Conference on Learning Theory, COLT 2004, Banff, Canada, July 1-4, 2004. Part of the Lecture Notes in Computer Science book series (LNCS, volume 3120).

ProceedingsAuthor: John Shawe-Taylor, Yoram Singer. Proceedings Author: John Shawe-Taylor, Yoram Singer Published by Springer Berlin Heidelberg ISBN: 978-3-540-22282-8 DOI: 1. 007/b98522. Table of Contents: Towards a Characterization of Polynomial Preference Elicitation with Value Queries in Combinatorial Auctions. Deterministic Calibration and Nash Equilibrium. Reinforcement Learning for Average Reward Zero-Sum Games. Polynomial Time Prediction Strategy with Almost Optimal Mistake Probability. Minimizing Regret with Label Efficient Prediction. Regret Bounds for Hierarchical Classification with Linear-Threshold Functions.

Learning Theory book. The invited lectures were given by Michael Kearns on 'Game Theory, Automated Trading and Social Networks', Moses Charikar on 'Algorithmic Aspects of - nite Metric Spaces', and Stephen Boyd on 'Convex Optimization, Semide?nite Programming, and Recent Applications'.

Items related to Learning Theory: 17th Annual Conference on Learning. Learning Theory: 17th Annual Conference on Learning Theory, COLT 2004, Banff, Canada, July 1-4, 2004, Proceedings (Lecture Notes in Computer Science). This volume contains papers presented at the 17th Annual Conference on Le- ning Theory (previously known as the Conference on Computational Learning Theory) held in Ban?, Canada from July 1 to 4, 2004. The technical program contained 43 papers selected from 107 submissions, 3 open problems selected from among 6 contributed, and 3 invited lectures.

John Shawe-Taylor, Yoram Singer. This book constitutes the refereed proceedings of the 17th Annual Conference on Learning Theory, COLT 2004, held in Banff, Canada in July 2004. The papers are organized in topical sections on economics and game theory, online learning, inductive inference, probabilistic models, Boolean function learning, empirical processes, MDL, generalisation, clustering and distributed learning, boosting, kernels and probabilities, kernels and kernel matrices, and open.

This book constitutes the refereed proceedings of the 17th Annual Conference on Learning Theory, COLT 2004, held in Banff, Canada in July 2004.

John Shawe-Taylor, Yoram Singer, Learning Theory Springer ISBN: 3540222820 2004 PDF 648 pages 1. 7 MB This book constitutes the refereed proceedings of the 17th Annual Conference on Learning Theory, COLT 2004, held in Banff, Canada in July 2004.

Описание: This book constitutes the refereed proceedings of the 20th Annual Conference on Learning Theory, COLT 2007, held in San Diego, CA, USA in June 2007.

This volume contains papers presented at the 17th Annual Conference on Le- ning Theory (previously known as the Conference on Computational Learning Theory) held in Ban?, Canada from July 1 to 4, 2004.

computer science (1). refresh. Member recommendations.

This volume contains papers presented at the 17th Annual Conference on Le- ning Theory (previously known as the Conference on Computational Learning Theory) held in Ban?, Canada from July 1 to 4, 2004. The technical program contained 43 papers selected from 107 submissions, 3 open problems selected from among 6 contributed, and 3 invited lectures. The invited lectures were given by Michael Kearns on 'Game Theory, Automated Trading and Social Networks', Moses Charikar on 'Algorithmic Aspects of - nite Metric Spaces', and Stephen Boyd on 'Convex Optimization, Semide?nite Programming, and Recent Applications'. These papers were not included in this volume. The Mark Fulk Award is presented annually for the best paper co-authored by a student. Thisyear theMark Fulk award wassupplemented with two further awards funded by the Machine Learning Journal and the National Information Communication Technology Centre, Australia (NICTA). We were therefore able toselectthreestudentpapersforprizes.ThestudentsselectedwereMagalieF- montforthesingle-authorpaper"ModelSelectionbyBootstrapPenalizationfor Classi?cation", Daniel Reidenbach for the single-author paper "On the Lear- bility of E-Pattern Languages over Small Alphabets", and Ran Gilad-Bachrach for the paper "Bayes and Tukey Meet at the Center Point" (co-authored with Amir Navot and Naftali Tishby).

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