- 5 Results
Lowest price: € 128.39, highest price: € 136.71, average price: € 132.08
1
Learning Theory : 20th Annual Conference on Learning Theory, COLT 2007, San Diego, CA, USA, June 13-15, 2007, Proceedings - Claudio Gentile
Order
at ZVAB.com
€ 128.39
Shipment: € 8.991
Order
Provider details
Sponsored link
Claudio Gentile:

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

2007, ISBN: 3540729259

[EAN: 9783540729259], Nouveau livre, [SC: 8.99], [PU: Springer Berlin Heidelberg], LERNEN / COMPUTER, MEDIEN; INDUCTIVEINFERENCE; KERNELMETHOD; MACHINELEARNING; OPTIMIZATION; STABILITY; A… More...

NEW BOOK. Shipping costs: EUR 8.99 AHA-BUCH GmbH, Einbeck, Germany [51283250] [Note: 5 (sur 5)]
close (x)
2
Learning Theory 20th Annual Conference on Learning Theory, COLT 2007, San Diego, CA, USA, June 13-15, 2007, Proceedings - Gentile, Claudio (Herausgeber); Bshouty, Nader (Herausgeber)
Order
at Achtung-Buecher.de
€ 133.46
Shipment: € 0.001
Order
Provider details
Sponsored link

Gentile, Claudio (Herausgeber); Bshouty, Nader (Herausgeber):

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

2007, ISBN: 3540729259

2007 Kartoniert / Broschiert Lernen / Computer, Medien, Theoretische Informatik, Künstliche Intelligenz, InductiveInference; kernelmethod; machinelearning; Optimization; stability; algo… More...

Shipping costs:Versandkostenfrei innerhalb der BRD. (EUR 0.00) MARZIES.de Buch- und Medienhandel, 14621 Schönwalde-Glien
close (x)
3
Learning Theory 20th Annual Conference on Learning Theory, COLT 2007, San Diego, CA, USA, June 13-15, 2007, Proceedings - Gentile, Claudio (Herausgeber); Bshouty, Nader (Herausgeber)
Order
at Achtung-Buecher.de
€ 133.46
Shipment: € 0.001
Order
Provider details
Sponsored link
Gentile, Claudio (Herausgeber); Bshouty, Nader (Herausgeber):
Learning Theory 20th Annual Conference on Learning Theory, COLT 2007, San Diego, CA, USA, June 13-15, 2007, Proceedings - new book

2007

ISBN: 3540729259

2007 Kartoniert / Broschiert Lernen / Computer, Medien, Theoretische Informatik, Künstliche Intelligenz, InductiveInference; kernelmethod; machinelearning; Optimization; stability; algo… More...

Shipping costs:Sans frais d'envoi en Allemagne. (EUR 0.00) MARZIES.de Buch- und Medienhandel, 14621 Schönwalde-Glien
close (x)
4
Order
at Indigo.ca
C$ 196.50
(aprox. € 136.71)
Order
Details & Shipping
Sponsored link
Learning Theory: 20th Annual Conference on Learning Theory, COLT 2007, San Diego, CA, USA, June 13-15, 2007, Proceed - new book

2007, ISBN: 9783540729259

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… More...

new in stock. Shipping costs:zzgl. Versandkosten., plus shipping costs
close (x)
5
Order
at lehmanns.de
€ 128.39
Shipment: € 0.001
Order
Provider details
Sponsored link
Nader Bshouty; Claudio Gentile:
Learning Theory - Paperback

2007, ISBN: 9783540729259

20th Annual Conference on Learning Theory, COLT 2007, San Diego, CA, USA, June 13-15, 2007, Proceedings, Buch, Softcover, [PU: Springer Berlin], Springer Berlin, 2007

Shipping costs:sofort lieferbar. (EUR 0.00)
close (x)
1As some platforms do not transmit shipping conditions to us and these may depend on the country of delivery, the purchase price, the weight and size of the item, a possible membership of the platform, a direct delivery by the platform or via a third-party provider (Marketplace), etc., it is possible that the shipping costs indicated by euro-book.co.uk / euro-book.co.uk do not correspond to those of the offering platform.

Bibliographic data of the best matching book

Details of the book
Learning Theory: 20th Annual Conference on Learning Theory, COLT 2007, San Diego, CA, USA, June 13-15, 2007, Proceed
Author:
Title:
ISBN:

3540729259


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. The 41 revised full papers presented together with 5 articles on open problems and 2 invited lectures were carefully reviewed and selected from a total of 92 submissions. The papers cover a wide range of topics and are organized in topical sections on 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, other approaches, and open problems.

Details of the book - Learning Theory: 20th Annual Conference on Learning Theory, COLT 2007, San Diego, CA, USA, June 13-15, 2007, Proceed


EAN (ISBN-13): 9783540729259
ISBN (ISBN-10): 3540729259
Hardcover
Paperback
Publishing year: 2007
Publisher: Springer Berlin
634 Pages
Weight: 0,903 kg
Language: eng/Englisch

Book in our database since 2007-07-30T17:33:07+01:00 (London)
Detail page last modified on 2022-04-07T10:53:29+01:00 (London)
ISBN/EAN: 3540729259

ISBN - alternate spelling:
3-540-72925-9, 978-3-540-72925-9
Alternate spelling and related search-keywords:
Book author: gentile, nader, gentil, colt
Book title: annual, colt, the san diego, theory, bildfolien learning, usa and away, say this the usa, lecture notes artificial intelligence, june june

Information from Publisher

Author: Nader Bshouty; Claudio Gentile
Title: Lecture Notes in Artificial Intelligence; Lecture Notes in Computer Science; Learning Theory - 20th Annual Conference on Learning Theory, COLT 2007, San Diego, CA, USA, June 13-15, 2007, Proceedings
Publisher: Springer; Springer Berlin
636 Pages
Publishing year: 2007-06-01
Berlin; Heidelberg; DE
Language: English
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
Available
XII, 636 p.

BC; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Informatik; Alphabet; active learning; algorithm; algorithmic learning; algorithms; classification; complexity; computational learning; decision theory; game theory; inductive inference; kernel method; machine learning; optimization; stability; algorithm analysis and problem complexity; Artificial Intelligence; Theory of Computation; Algorithms; Formal Languages and Automata Theory; Theoretische Informatik; Algorithmen und Datenstrukturen; EA

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?.

More/other books that might be very similar to this book

Latest similar book:
9783540278191 Learning Theory (>100)

< to archive...