Learning Theory: 17th Annual Conference on Learning Theory, COLT 2004, Banff, Canada, July 1-4, 2004, Proceedings This book constitutes the refereed proceedings of the 17th Annual Conference on Learning Theory, COLT 2004, held in Banff, Canada in July 2004.
The 46 revised full papers presented were carefully reviewed and selected from a total of 113 submissions. The papers are organized in topical sections on economics and game theory, online learning,...
Mastering Probabilistic Graphical Models using Python
Master probabilistic graphical models by learning through real-world problems and illustrative code examples in Python
About This Book
Gain in-depth knowledge of Probabilistic Graphical Models
Model time-series problems using Dynamic Bayesian Networks
A practical guide to...
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