Algorithmic Learning Theory: 24th International Conference, ALT 2013, Singapore, October 6-9, 2013, Proceedings
Sanjay Jain · Rémi Munos · Frank Stephan · Thomas Zeugmann
Sep 2013 · Springer
Ebook
397
Pages
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About this ebook
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.
About the author
Sanjay Jain is a US-trained, board-certified physician with more than fifteen years of clinical experience. He received an MBA from Ohio State University and certifications in Diagnostic Radiology, Integrative Medicine, and Healthcare Quality and Management. His first book, Optimal Living 360: Smart Decisions Making for a Balanced Life, was published in 2014.
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