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"The book is aimed at a broad audience of engineers, computer scientists, mathematicians, statisticians and in general anyone, theorist or practitioner, who is interested in fast simulation, including rare-event probability estimation, efficient combinatorial and continuous multi-extremal optimization, and machine learning algorithms."--BOOK JACKET.
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Edition | Availability |
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1
The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning (Information Science and Statistics)
July 28, 2004, Springer
in English
038721240X 9780387212401
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2
The cross entropy method: a unified approach to combinatorial optimization, Monte-Carlo simluation, and machine learning
2004, Springer
in English
038721240X 9780387212401
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Book Details
First Sentence
"The purpose of this preparatory chapter is to provide some initial background for this book, including a summary of the relevant definitions and concepts in probability, statistics, simulation and information theory."
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