Algorithmic Learning Theory : 19th International Conference, Alt 2008, Budapest, Hungary, October 13-16, 2008, Proceedings - Yoav Freund

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Algorithmic Learning Theory

19th International Conference, Alt 2008, Budapest, Hungary, October 13-16, 2008, Proceedings

By: Yoav Freund (Editor), Laszlo Gyorfi (Editor), Gyorgy Turan (Editor)

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Paperback | 29 September 2008

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This volume contains papers presented at the 19th International Conference on Algorithmic Learning Theory (ALT 2008), which was held in Budapest, Hungary during October 13-16, 2008. The conference was co-located with the 11th - ternational Conference on Discovery Science (DS 2008). The technical program of ALT 2008 contained 31 papers selected from 46 submissions, and 5 invited talks. The invited talks were presented in joint sessions of both conferences. ALT 2008 was the 19th in the ALT conference series, established in Japan in 1990. The series Analogical and Inductive Inference is a predecessor of this series: it was held in 1986, 1989 and 1992, co-located with ALT in 1994, and s- sequently merged with ALT. ALT maintains its strong connections to Japan, but has also been held in other countries, such as Australia, Germany, Italy, Sin- pore, Spain and the USA. The ALT conference series is supervised by its Steering Committee: Naoki Abe (IBM T. J.

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Programming & Software Development Algorithms & Data Structures Computer Science Mathematical Theory of Computation Databases Data Mining Artificial Intelligence Natural Language & Machine Translation Humanities Business Applications

Expert Systems & Knowledge-Based Systems Audio Processing

Invited Papers
On Iterative Algorithms with an Information Geometry Background	p. 1
Visual Analytics: Combining Automated Discovery with Interactive Visualizations	p. 2
Some Mathematics behind Graph Property Testing	p. 3
Finding Total and Partial Orders from Data for Seriation	p. 4
Computational Models of Neural Representations in the Human Brain (Extended Abstract)	p. 5
Regular Contributions
Statistical Learning
Generalization Bounds for Some Ordinal Regression Algorithms	p. 7
Approximation of the Optimal ROC Curve and a Tree-Based Ranking Algorithm	p. 22
Sample Selection Bias Correction Theory	p. 38
Exploiting Cluster-Structure to Predict the Labeling of a Graph	p. 54
A Uniform Lower Error Bound for Half-Space Learning	p. 70
Generalization Bounds for K-Dimensional Coding Schemes in Hilbert Spaces	p. 79
Learning and Generalization with the Information Bottleneck	p. 92
Probability and Stochastic Processes
Growth Optimal Investment with Transaction Costs	p. 108
Online Regret Bounds for Markov Decision Processes with Deterministic Transitions	p. 123
On-Line Probability, Complexity and Randomness	p. 138
Prequential Randomness	p. 154
Some Sufficient Conditions on an Arbitrary Class of Stochastic Processes for the Existence of a Predictor	p. 169
Nonparametric Independence Tests: Space Partitioning and Kernel Approaches	p. 183
Boosting and Experts
Supermartingales in Prediction with Expert Advice	p. 199
Aggregating Algorithm for a Space of Analytic Functions	p. 214
Smooth Boosting for Margin-Based Ranking	p. 227
Learning with Continuous Experts Using Drifting Games	p. 240
Entropy Regularized LPBoost	p. 256
Active Learning and Queries
Optimally Learning Social Networks with Activations and Suppressions	p. 272
Active Learning in Multi-armed Bandits	p. 287
Query Learning and Certificates in Lattices	p. 303
Clustering with Interactive Feedback	p. 316
Active Learning of Group-Structured Environments	p. 329
Finding the Rare Cube	p. 344
Inductive Inference
Iterative Learning of Simple External Contextual Languages	p. 359
Topological Properties of Concept Spaces	p. 374
Dynamically Delayed Postdictive Completeness and Consistency in Learning	p. 389
Dynamic Modeling in Inductive Inference	p. 404
Optimal Language Learning	p. 419
Numberings Optimal for Learning	p. 434
Learning with Temporary Memory	p. 449
Erratum
Erratum: Constructing Multiclass Learners from Binary Learners: A Simple Black-Box Analysis of the Generalization Errors	p. 464
Author Index	p. 467
Table of Contents provided by Ingram. All Rights Reserved.

Algorithmic Learning Theory

19th International Conference, Alt 2008, Budapest, Hungary, October 13-16, 2008, Proceedings

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