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The Cross-Entropy Method: A Unified Approach To Combinatorial Optimization, Monte-Carlo Simulation, and Machine Learning - Couverture rigide
Synopsis
The cross-entropy (CE) method is one of the most significant developments in randomized optimization and simulation in recent years. This book explains in detail how and why the CE method works. The simplicity and versatility of the method is illustrated via a diverse collection of optimization and estimation problems. The book is aimed at a broad audience of engineers, computer scientists, mathematicians, statisticians and in general anyone, theorist and practitioner, who is interested in smart simulation, fast optimization, learning algorithms, and image processing.
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Présentation de l'éditeur
Rubinstein is the pioneer of the well-known score function and cross-entropy methods.
Accessible to a broad audience of engineers, computer scientists, mathematicians, statisticians and in general anyone, theorist and practitioner, who is interested in smart simulation, fast optimization, learning algorithms, and image processing.
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The Cross-Entropy Method (Hb)
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The Cross-Entropy Method
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The Cross-Entropy Method
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The Cross-Entropy Method (Hb)
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The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning (Information Science and Statistics)
Edité par
Springer, 2004
ISBN 10 : 038721240X
ISBN 13 : 9780387212401
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Couverture rigide
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