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Pattern Classification Using Ensemble Methods (Series in Machine Perception and Artificial Intellige 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

Pattern Classification Using Ensemble Methods (Series in Machine Perception and Artificial Intellige
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Lior Rokach 作者
World Scientific Publishing Company
譯者
2010-06-30 出版日期
225 頁數
USD 75.00 價格
Hardcover
叢書系列
9789814271066 圖書編碼

Pattern Classification Using Ensemble Methods (Series in Machine Perception and Artificial Intellige 在線電子書 圖書標籤: 計算機技術   

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Pattern Classification Using Ensemble Methods (Series in Machine Perception and Artificial Intellige 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Pattern Classification Using Ensemble Methods (Series in Machine Perception and Artificial Intellige 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Pattern Classification Using Ensemble Methods (Series in Machine Perception and Artificial Intellige 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


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Pattern Classification Using Ensemble Methods (Series in Machine Perception and Artificial Intellige 在線電子書 著者簡介

Pattern Classification Using Ensemble Methods (Series in Machine Perception and Artificial Intellige 在線電子書 著者簡介

Pattern Classification Using Ensemble Methods (Series in Machine Perception and Artificial Intellige 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Pattern Classification Using Ensemble Methods (Series in Machine Perception and Artificial Intellige 在線電子書 圖書描述

Researchers from various disciplines such as pattern recognition, statistics, and machine learning have explored the use of ensemble methodology since the late seventies. Thus, they are faced with a wide variety of methods, given the growing interest in the field. This book aims to impose a degree of order upon this diversity by presenting a coherent and unified repository of ensemble methods, theories, trends, challenges and applications. The book describes in detail the classical methods, as well as the extensions and novel approaches developed recently. Along with algorithmic descriptions of each method, it also explains the circumstances in which this method is applicable and the consequences and the trade-offs incurred by using the method.

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