Matrix Algebra Approach to Artificial Intelligence

Matrix Algebra Approach to Artificial Intelligence

AngličtinaMäkká väzbaTlač na objednávku
Zhang, Xian-Da
Springer Verlag, Singapore
EAN: 9789811527722
Tlač na objednávku
Predpokladané dodanie v utorok, 17. decembra 2024
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Bežná cena: 250,42 €
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Podrobné informácie

Matrix algebra plays an important role in many core artificial intelligence (AI) areas, including machine learning, neural networks, support vector machines (SVMs) and evolutionary computation. This book offers a comprehensive and in-depth discussion of matrix algebra theory and methods for these four core areas of AI, while also approaching AI from a theoretical matrix algebra perspective.

The book consists of two parts: the first discusses the fundamentals of matrix algebra in detail, while the second focuses on the applications of matrix algebra approaches in AI. Highlighting matrix algebra in graph-based learning and embedding, network embedding, convolutional neural networks and Pareto optimization theory, and discussing recent topics and advances, the book offers a valuable resource for scientists, engineers, and graduate students in various disciplines, including, but not limited to, computer science, mathematics and engineering.  
EAN 9789811527722
ISBN 9811527725
Typ produktu Mäkká väzba
Vydavateľ Springer Verlag, Singapore
Dátum vydania 23. mája 2021
Stránky 820
Jazyk English
Rozmery 235 x 155
Krajina Singapore
Čitatelia Professional & Scholarly
Autori Zhang, Xian-Da
Ilustrácie XXXIV, 820 p. 389 illus.
Edícia 1st ed. 2020