Название: Lie Group Machine Learning Автор: Fanzhang Li Издательство: de Gruyter Год: 2019 Страниц: 533 Формат: PDF Размер: 14 Mb Язык: English
This book explains deep learning concepts and derives semi-supervised learning and nuclear learning frameworks based on cognition mechanism and Lie group theory. Lie group machine learning is a theoretical basis for brain intelligence, Neuromorphic learning (NL), advanced machine learning, and advanced artifi cial intelligence. The book further discusses algorithms and applications in tensor learning, spectrum estimation learning, Finsler geometry learning, Homology boundary learning, and prototype theory. With abundant case studies, this book can be used as a reference book for senior college students and graduate students as well as college teachers and scientific and technical personnel involved in computer science, artifi cial intelligence, machine learning, automation, mathematics, management science, cognitive science, financial management, and data analysis. In addition, this text can be used as the basis for teaching the principles of machine learning.
Machine Learning with R Название: Machine Learning with R Автор: Abhijit Ghatak Издательство: Springer ISBN: 9811068070 Год: 2017 Страниц: 224 Язык: английский Формат:...
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Lie Group Machine Learning 
