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Book synopsis

The primary goal of this book is to give readers a complete treatment of the state-of-the-art ensemble learning methods, and provide a set of applications that demonstrate the various usages of ensemble learning methods in the real-world. For readers who are new to the subject, this book provides an excellent entry point with high-level introductory view of the topic as well as in-depth discussion of the key technical details. For researchers in the area, this book is a handy reference summarizing the up-to-date advances in ensemble learning, their connections, and future directions. For practitioners, the book provides a number of example applications for ensemble learning, and offers examples of successful, real-world systems.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Ensemble Machine Learning
• Subtitle: Methods and Applications
• Author: Cha Zhang, Yunqian Ma
• Language: English
• Binding: Hardback
• Number of pages: 332
• EAN: 9781441993250
• ISBN: 1441993258
• ID: 01424494
• Publisher: Springer-Verlag New York Inc.
• Weight: 674 g
• Dimensions: 166 × 241 × 22 mm
• Date of publishing: 17. February 2012

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