Learning Theory: 20th Annual Conference on Learning Theory, COLT 2007, San Diego, CA, USA, June 13-15, 2007, Proceedings (Lecture Notes in Computer Science/Lecture Notes in Artificial Intelligence) - Couverture souple

9783540729259: Learning Theory: 20th Annual Conference on Learning Theory, COLT 2007, San Diego, CA, USA, June 13-15, 2007, Proceedings (Lecture Notes in Computer Science/Lecture Notes in Artificial Intelligence)

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ISBN 10 : 3540729259 ISBN 13 : 9783540729259

Editeur : Springer, 2007

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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. It covers unsupervised, semisupervised and active learning, statistical learning theory, inductive inference, regularized learning, kernel methods, SVM, online and reinforcement learning, learning algorithms and limitations on learning, dimensionality reduction, as well as open problems.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

Pr�sentation de l'�diteur

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer
Date d'�dition: 2007
Langue: anglais
ISBN 10: 3540729259
ISBN 13: 9783540729259
Reliure: Broch�
Nombre de pages: 648
�diteur: Bshouty Nader H.
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Learning Theory: 20th Annual Conference on Learning Theory, COLT 2007, San Diego, CA, USA, June 13-15, 2007, Proceedings (Lecture Notes in Computer Science, 4539)

Edit� par Springer, 2007

ISBN 10 : 3540729259 ISBN 13 : 9783540729259

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Learning Theory

Claudio Gentile

Edit� par Springer Berlin Heidelberg Jun 2007, 2007

ISBN 10 : 3540729259 ISBN 13 : 9783540729259

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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. It covers unsupervised, semisupervised and active learning, statistical learning theory, inductive inference, regularized learning, kernel methods, SVM, online and reinforcement learning, learning algorithms and limitations on learning, dimensionality reduction, as well as open problems. 648 pp. Englisch. N� de r�f. du vendeur 9783540729259

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Learning Theory

Bshouty, Nader|Gentile, Claudio

Edit� par Springer Berlin Heidelberg, 2007

ISBN 10 : 3540729259 ISBN 13 : 9783540729259

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Vendeur : moluna, Greven, Allemagne

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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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. It covers unsupervised, semisupervised and active learning, statistical learning theory, inductive infere. N� de r�f. du vendeur 4899551

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Learning Theory | 20th Annual Conference on Learning Theory, COLT 2007, San Diego, CA, USA, June 13-15, 2007, Proceedings

Nader Bshouty (u. a.)

Edit� par Springer, 2007

ISBN 10 : 3540729259 ISBN 13 : 9783540729259

Neuf Taschenbuch

Vendeur : preigu, Osnabr�ck, Allemagne

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Learning Theory

Nader Bshouty

Edit� par Springer, Springer Jun 2007, 2007

ISBN 10 : 3540729259 ISBN 13 : 9783540729259

Neuf Taschenbuch

impression � la demande

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Invited Presentations.- Property Testing: A Learning Theory Perspective.- Spectral Algorithms for Learning and Clustering.- Unsupervised, Semisupervised and Active Learning I.- Minimax Bounds for Active Learning.- Stability of k-Means Clustering.- Margin Based Active Learning.- Unsupervised, Semisupervised and Active Learning II.- Learning Large-Alphabet and Analog Circuits with Value Injection Queries.- Teaching Dimension and the Complexity of Active Learning.- Multi-view Regression Via Canonical Correlation Analysis.- Statistical Learning Theory.- Aggregation by Exponential Weighting and Sharp Oracle Inequalities.- Occam's Hammer.- Resampling-Based Confidence Regions and Multiple Tests for a Correlated Random Vector.- Suboptimality of Penalized Empirical Risk Minimization in Classification.- Transductive Rademacher Complexity and Its Applications.- Inductive Inference.- U-Shaped, Iterative, and Iterative-with-Counter Learning.- Mind Change Optimal Learning of Bayes Net Structure.- Learning Correction Grammars.- Mitotic Classes.- Online and Reinforcement Learning I.- Regret to the Best vs. Regret to the Average.- Strategies for Prediction Under Imperfect Monitoring.- Bounded Parameter Markov Decision Processes with Average Reward Criterion.- Online and Reinforcement Learning II.- On-Line Estimation with the Multivariate Gaussian Distribution.- Generalised Entropy and Asymptotic Complexities of Languages.- Q-Learning with Linear Function Approximation.- Regularized Learning, Kernel Methods, SVM.- How Good Is a Kernel When Used as a Similarity Measure .- Gaps in Support Vector Optimization.- Learning Languages with Rational Kernels.- Generalized SMO-Style Decomposition Algorithms.- Learning Algorithms and Limitations on Learning.- Learning Nested Halfspaces and UphillDecision Trees.- An Efficient Re-scaled Perceptron Algorithm for Conic Systems.- A Lower Bound for Agnostically Learning Disjunctions.- Sketching Information Divergences.- Competing with Stationary Prediction Strategies.- Online and Reinforcement Learning III.- Improved Rates for the Stochastic Continuum-Armed Bandit Problem.- Learning Permutations with Exponential Weights.- Online and Reinforcement Learning IV.- Multitask Learning with Expert Advice.- Online Learning with Prior Knowledge.- Dimensionality Reduction.- Nonlinear Estimators and Tail Bounds for Dimension Reduction in l 1 Using Cauchy Random Projections.- Sparse Density Estimation with 1 Penalties.- 1 Regularization in Infinite Dimensional Feature Spaces.- Prediction by Categorical Features: Generalization Properties and Application to Feature Ranking.- Other Approaches.- Observational Learning in Random Networks.- The Loss Rank Principle for Model Selection.- Robust Reductions from Ranking to Classification.- Open Problems.- Rademacher Margin Complexity.- Open Problems in Efficient Semi-supervised PAC Learning.- Resource-Bounded Information Gathering for Correlation Clustering.- Are There Local Maxima in the Infinite-Sample Likelihood of Gaussian Mixture Estimation .- When Is There a Free Matrix Lunch .Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 648 pp. Englisch. N� de r�f. du vendeur 9783540729259

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Learning Theory : 20th Annual Conference on Learning Theory, COLT 2007, San Diego, CA, USA, June 13-15, 2007, Proceedings

Nader Bshouty

Edit� par Springer, Springer, 2007

ISBN 10 : 3540729259 ISBN 13 : 9783540729259

Neuf Taschenbuch

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. It covers unsupervised, semisupervised and active learning, statistical learning theory, inductive inference, regularized learning, kernel methods, SVM, online and reinforcement learning, learning algorithms and limitations on learning, dimensionality reduction, as well as open problems. N� de r�f. du vendeur 9783540729259

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Learning Theory: 20th Annual Conference on Learning Theory, Colt 2007, San Diego, Ca, USA, June 13-15, 2007, Proceedings

Bshouty, Nader H. (Editor)/ Gentile, Claudio (Editor)

Edit� par Springer-Verlag New York Inc, 2007

ISBN 10 : 3540729259 ISBN 13 : 9783540729259

Neuf Paperback

Vendeur : Revaluation Books, Exeter, Royaume-Uni

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Paperback. Etat : Brand New. 1st edition. 634 pages. 9.00x6.00x1.00 inches. In Stock. N� de r�f. du vendeur x-3540729259

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Learning Theory: 20th Annual Conference on Learning Theory, COLT 2007, San Diego, CA, USA, June 13-15, 2007, Proceedings (Lecture Notes in Computer Science)

Edit� par Springer, 2007

ISBN 10 : 3540729259 ISBN 13 : 9783540729259

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Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni

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Paperback. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. N� de r�f. du vendeur ERICA77335407292596

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