عنوان

Lie group machine learning /

(Number (ISBN

3110498073

(Number (ISBN

3110499509

(Number (ISBN

9783110498073

(Number (ISBN

9783110499506

Erroneous ISBN

311050068X

Erroneous ISBN

9783110500684

Title Proper

Lie group machine learning /

General Material Designation

[Book]

First Statement of Responsibility

Li Fanzhang, Zhang Li, Zhang Zhao.

Place of Publication, Distribution, etc.

Boston :

Name of Publisher, Distributor, etc.

Walter de Gruyter, GmbH,

Date of Publication, Distribution, etc.

2018.

Date of Publication, Distribution, etc.

©2019

Specific Material Designation and Extent of Item

1 online resource (xvi, 517 pages) :

Other Physical Details

illustrations

Text of Note

Includes bibliographical references and index.

Text of Note

Lie group machine learning model -- Lie group subspace orbit generation learning -- Symplectic group learning -- Quantum group learning -- Lie group fibre bundle learning -- Lie group covering learning -- Lie group deep structure learning -- Lie group semi-supervised learning -- Lie group kernel learning -- Tensor learning -- Frame bundle connection learning -- Spectral estimation learning -- Finsler geometric learning -- Homology boundary learning -- Category representation learning -- Neuromorphic synergy learning.

0

Text of Note

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 artificial 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, artificial 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.

Title

Lie group machine learning.

International Standard Book Number

9783110500684

Lie groups.

Machine learning.

COMPUTERS-- General.

Lie groups.

Machine learning.

COM-- 000000

Number

Edition

Class number

Class number

Book number

Li, Fanzhang

Zhang, Li,School of Computer Science and Technology, Soochow University, China

Zhang, Zhao, (Computer scientist)

Date of Transaction

20200823095659.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y