Feature selection and model selection in supervised learning

Feature selection and model selection are important topics in machine learning, bioinformatics, web mining, computer vision, data mining and other information-related fields. This book is a good review of the literature on these two topics. Furthermore, this book introduces three advanced feature selection algorithms and one novel model selection algorithm. The techniques introduced here can be directly adopted in many widely-used machine learning algorithms, such as Support Vector Machines, Neural Networks, Decision Tree and Deep Learning Models.