Lie Group Machine Learning

Lie Group Machine Learning
Author :
Publisher : Walter de Gruyter GmbH & Co KG
Total Pages : 534
Release :
ISBN-10 : 9783110499506
ISBN-13 : 3110499509
Rating : 4/5 (06 Downloads)

Book Synopsis Lie Group Machine Learning by : Fanzhang Li

Download or read book Lie Group Machine Learning written by Fanzhang Li and published by Walter de Gruyter GmbH & Co KG. This book was released on 2018-11-05 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Li Fanzhang is professor at the Soochow University, China. He is director of network security engineering laboratory in Jiangsu Province and is also the director of the Soochow Institute of industrial large data. He published more than 200 papers, 7 academic monographs, and 4 textbooks. Zhang Li is professor at the School of Computer Science and Technology of the Soochow University. She published more than 100 papers in journals and conferences, and holds 23 patents. Zhang Zhao is currently an associate professor at the School of Computer Science and Technology of the Soochow University. He has authored and co-authored more than 60 technical papers.


Lie Group Machine Learning Related Books

Lie Group Machine Learning
Language: en
Pages: 534
Authors: Fanzhang Li
Categories: Computers
Type: BOOK - Published: 2018-11-05 - Publisher: Walter de Gruyter GmbH & Co KG

DOWNLOAD EBOOK

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
Language: en
Pages: 593
Authors: Fanzhang Li
Categories: Computers
Type: BOOK - Published: 2018-11-05 - Publisher: Walter de Gruyter GmbH & Co KG

DOWNLOAD EBOOK

This book explains deep learning concepts and derives semi-supervised learning and nuclear learning frameworks based on cognition mechanism and Lie group theory
Differential Geometry and Lie Groups
Language: en
Pages: 774
Authors: Jean Gallier
Categories: Mathematics
Type: BOOK - Published: 2020-08-14 - Publisher: Springer Nature

DOWNLOAD EBOOK

This textbook offers an introduction to differential geometry designed for readers interested in modern geometry processing. Working from basic undergraduate pr
An Introduction to Lie Groups and Lie Algebras
Language: en
Pages: 237
Authors: Alexander A. Kirillov
Categories: Mathematics
Type: BOOK - Published: 2008-07-31 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

This book is an introduction to semisimple Lie algebras. It is concise and informal, with numerous exercises and examples.
Differential Geometry and Lie Groups
Language: en
Pages: 627
Authors: Jean Gallier
Categories: Mathematics
Type: BOOK - Published: 2020-08-18 - Publisher: Springer Nature

DOWNLOAD EBOOK

This textbook explores advanced topics in differential geometry, chosen for their particular relevance to modern geometry processing. Analytic and algebraic per