Ensemble Methods: Foundations and Algorithms [Book Review]
Friedhelm Schwenker
Universität Ulm
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摘要与影响
This monograph is a valuable contribution to theoretical and practical ensemble learning. The material is very well-presented, preliminaries and basic knowledge are discussed in detail, many illustrations and pseudo-code tables help to understand the facts of this interesting field of research. The book will become a helpful tool for practitioners working in the field of machine learning or pattern recognition as well as for students of engineering or computer sciences at the graduate and postgraduate level.
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学术脉络
学科主题
计算机 / AIMachine Learning and Algorithms
Machine Learning and Data Classification · Imbalanced Data Classification Techniques
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