Algorithmic Learning Theory  25th International Conference, ALT 2014, Bled, Slovenia, October 8-10, 2014, Proceedings /  [electronic resource] : 
edited by Peter Auer, Alexander Clark, Thomas Zeugmann, Sandra Zilles. 
 - 1st ed. 2014. 
 - XVIII, 351 p. 22 illus.  online resource. 
 - Lecture Notes in Artificial Intelligence,  8776  2945-9141 ; .
 - Lecture Notes in Artificial Intelligence,  8776 .
<br/><br/>Inductive Inference -- Exact Learning from Queries -- Reinforcement Learning -- Online Learning and Learning with Bandit Information -- Statistical Learning Theory -- Privacy, Clustering, MDL, and Kolmogorov Complexity. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9783319116624 
<br/><br/><label>Standard No.: </label>10.1007/978-3-319-11662-4  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Artificial intelligence.<br/>Computer science.<br/>Data mining.<br/>Pattern recognition systems.<br/>Artificial Intelligence.<br/>Theory of Computation.<br/>Data Mining and Knowledge Discovery.<br/>Automated Pattern Recognition.
<br/><br/><label>LC Class. No.: </label>Q334-342 TA347.A78 
<br/><br/><label>Dewey Class. No.: </label>006.3