The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning (Information Science and Statistics)
暫譯: 交叉熵方法:組合優化、蒙地卡羅模擬與機器學習的統一方法(資訊科學與統計)
Reuven Y. Rubinstein, Dirk P. Kroese
- 出版商: Springer
- 出版日期: 2011-12-12
- 售價: $5,190
- 貴賓價: 9.5 折 $4,931
- 語言: 英文
- 頁數: 301
- 裝訂: Paperback
- ISBN: 1441919406
- ISBN-13: 9781441919403
-
相關分類:
Machine Learning、機率統計學 Probability-and-statistics
海外代購書籍(需單獨結帳)
商品描述
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.
商品描述(中文翻譯)
Rubinstein 是著名的分數函數和交叉熵方法的先驅。
本書適合廣泛的讀者,包括工程師、計算機科學家、數學家、統計學家,以及任何對智能模擬、快速優化、學習算法和圖像處理感興趣的理論家和實踐者。