Feature selection and model selection in supervised learning
Lieferbar innerhalb von 2-3 Tagen
BeschreibungFeature 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.
PortraitDr. Jianbo Yang is a Scientist at Institute for Infocomm Research in Singapore. Prior to that, he is a researcher at Duke University and a research fellow at Nanyang Technological University. He obtained the PhD degree from National University of Singapore.
Untertitel: Paperback. Sprache: Englisch.
Verlag: LAP Lambert Academic Publishing
Erscheinungsdatum: Februar 2015
Seitenanzahl: 160 Seiten