Code: 02076897

Algorithmic Learning Theory

Name: Algorithmic Learning Theory
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 02076897
Price: 51.65 EUR
Availability: InStock
Author: Sanjay Jain
ISBN: 9783642409349

by Sanjay Jain, Rémi Munos, Frank Stephan, Thomas Zeugmann

Language: English
Binding: Paperback
Number of pages: 397
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2013
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Book synopsis

This book constitutes the proceedings of the 24th International Conference on Algorithmic Learning Theory,ALT 2013, held in Singapore in October 2013, and co-located with the 16th International Conference on Discovery Science, DS 2013. The 23 papers presented in this volume were carefully reviewed and selected from 39 submissions. In addition the book contains 3 full papers of invited talks. The papers are organized in topical sections named: online learning, inductive inference and grammatical inference, teaching and learning from queries, bandit theory, statistical learning theory, Bayesian/stochastic learning, and unsupervised/semi-supervised learning.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

51.65 €

Full title: Algorithmic Learning Theory
Subtitle: 24th International Conference, ALT 2013, Singapore, October 6-9, 2013, Proceedings
Author: Sanjay Jain, Rémi Munos, Frank Stephan, Thomas Zeugmann
Language: English
Binding: Paperback
Number of pages: 397
EAN: 9783642409349
ISBN: 3642409342
ID: 02076897
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Weight: 635 g
Dimensions: 235 × 155 × 23 mm
Date of publishing: 11. September 2013