Computational Methods of Feature Selection

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文件名称：Computational Methods of Feature Selection
文件大小：183KB
文件格式：PDF
更新时间：2019-01-23 16:51:01
Machine Learning Due to increasing demands for dimensionality reduction, research on feature selection has deeply and widely expanded into many fields, including computational statistics, pattern recognition, machine learning, data mining, and knowledge discovery. Highlighting current research issues, Computational Methods of Feature Selection introduces the basic concepts and principles, state-of-the-art algorithms, and novel applications of this tool. The book begins by exploring unsupervised, randomized, and causal feature selection.