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Algorithmic Learning Theory: 25th International Conference, ALT 2014, Bled, Slovenia, October 8-10, 2014, Proceedings: Lecture Notes in Computer Science, cartea 8776

Editat de Peter Auer, Alexander Clark, Thomas Zeugmann, Sandra Zilles
en Limba Engleză Paperback – 23 sep 2014
This book constitutes the proceedings of the 25th International Conference on Algorithmic Learning Theory, ALT 2014, held in Bled, Slovenia, in October 2014, and co-located with the 17th International Conference on Discovery Science, DS 2014. The 21 papers presented in this volume were carefully reviewed and selected from 50 submissions. In addition the book contains 4 full papers summarizing the invited talks. The papers are organized in topical sections named: inductive inference; exact learning from queries; reinforcement learning; online learning and learning with bandit information; statistical learning theory; privacy, clustering, MDL, and Kolmogorov complexity.
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Specificații

ISBN-13: 9783319116617
ISBN-10: 3319116614
Pagini: 372
Ilustrații: XVIII, 351 p. 22 illus.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.52 kg
Ediția:2014
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

Inductive Inference.- Exact Learning from Queries.- Reinforcement Learning.- Online Learning and Learning with Bandit Information.- Statistical Learning Theory.- Privacy, Clustering, MDL, and Kolmogorov Complexity.

Textul de pe ultima copertă

This book constitutes the proceedings of the 25th International Conference on Algorithmic Learning Theory, ALT 2014, held in Bled, Slovenia, in October 2014, and co-located with the 17th International Conference on Discovery Science, DS 2014. The 21 papers presented in this volume were carefully reviewed and selected from 50 submissions. In addition the book contains 4 full papers summarizing the invited talks. The papers are organized in topical sections named: inductive inference; exact learning from queries; reinforcement learning; online learning and learning with bandit information; statistical learning theory; privacy, clustering, MDL, and Kolmogorov complexity.