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...
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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...
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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...
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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...
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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
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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...
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 book2007, ISBN: 3540729259
2007 Kartoniert / Broschiert Lernen / Computer, Medien, Theoretische Informatik, Künstliche Intelligenz, InductiveInference; kernelmethod; machinelearning; Optimization; stability; algo… More...
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...
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...
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
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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: 9783540729259
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
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