Algorithmic Learning Theory 20th International Conference, ALT 2009, Porto, Portugal, October 3-5, 2009, Proceedings

Name: Algorithmic Learning Theory 20th International Conference, ALT 2009, Porto, Portugal, October 3-5, 2009, Proceedings
Price: 55.74 USD
Availability: InStock
ISBN: 9783642044137

ISBN-10: 3642044131

ISBN-13: 9783642044137

Edition: 2009

Authors: Ricard Gavaldï¿½, Gabor Lugosi, Thomas Zeugmann, Sandra Zilles

List price: $81.00

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Description:

This book constitutes the refereed proceedings of the 20th International Conference on Algorithmic Learning Theory, ALT 2009, held in Porto, Portugal, in October 2009, co-located with the 12th International Conference on Discovery Science, DS 2009.The 26 revised full papers presented together with the abstracts of 5 invited talks were carefully reviewed and selected from 60 submissions. The papers are divided into topical sections of papers on online learning, learning graphs, active learning and query learning, statistical learning, inductive inference, and semisupervised and unsupervised learning. The volume also contains abstracts of theinvited talks: Sanjoy Dasgupta, The Two Faces of…

Book details

List price: $81.00
Copyright year: 2009
Publisher: Springer Berlin / Heidelberg
Publication date: 9/21/2009
Binding: Paperback
Pages: 399
Size: 6.10" wide x 9.25" long x 1.00" tall
Weight: 1.386



Invited Papers


The Two Faces of Active Learning



Inference and Learning in Planning



Mining Heterogeneous Information Networks by Exploring the Power of Links



Learning and Domain Adaptation



Learning on the Web



Regular Contributions


Online Learning


Prediction with Expert Evaluators' Advice



Pure Exploration in Multi-armed Bandits Problems



The Follow Perturbed Leader Algorithm Protected from Unbounded One-Step Losses



Computable Bayesian Compression for Uniformly Discretizable Statistical Models



Calibration and Internal No-Regret with Random Signals



St. Petersburg Portfolio Games



Learning Graphs


Reconstructing Weighted Graphs with Minimal Query Complexity



Learning Unknown Graphs



Completing Networks Using Observed Data



Active Learning and Query Learning


Average-Case Active Learning with Costs



Canonical Horn Representations and Query Learning



Learning Finite Automata Using Label Queries



Characterizing Statistical Query Learning: Simplified Notions and Proofs



An Algebraic Perspective on Boolean Function Learning



Statistical Learning


Adaptive Estimation of the Optimal ROC Curve and a Bipartite Ranking Algorithm



Complexity versus Agreement for Many Views: Co-regularization for Multi-view Semi-supervised Learning



Error-Correcting Tournaments



Inductive Inference


Difficulties in Forcing Fairness of Polynomial Time Inductive Inference



Learning Mildly Context-Sensitive Languages with Multidimensional Substitutability from Positive Data



Uncountable Automatic Classes and Learning



Iterative Learning from Texts and Counterexamples Using Additional Information



Incremental Learning with Ordinal Bounded Example Memory



Learning from Streams



Semi-supervised and Unsupervised Learning


Smart PAC-Learners



Approximation Algorithms for Tensor Clustering



Agnostic Clustering



Author Index