Books > Computing & IT > Applications of computing > Artificial intelligence
|
Buy Now
Lie Group Machine Learning (Hardcover)
Loot Price: R4,534
Discovery Miles 45 340
|
|
Lie Group Machine Learning (Hardcover)
Expected to ship within 12 - 17 working days
|
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.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
You might also like..
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.