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Reuven Y. Rubinstein - The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning (Information Science and Statistics) - 9780387212401 - V9780387212401
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The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning (Information Science and Statistics)

€ 206.63
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Description for The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning (Information Science and Statistics) Hardcover. Num Pages: 324 pages. BIC Classification: UY. Dimension: 244 x 164 x 26. Weight in Grams: 642.
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.

Product Details

Publisher
Springer
Format
Hardback
Publication date
2004
Series
Information Science and Statistics
Condition
New
Weight
640g
Number of Pages
301
Place of Publication
New York, NY, United States
ISBN
9780387212401
SKU
V9780387212401
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning (Information Science and Statistics)
From the reviews: Rarely have I seen such a dense and straight to the point pedagogical monograph on such a modern subject. This excellent book, on the simulated cross-entropy method (CEM) pioneered by one of the authors (Rubinstein), is very well written... Computing Reviews, Stochastic Programming November, 2004 ... Read more

Goodreads reviews for The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning (Information Science and Statistics)


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