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portada A Matrix Algebra Approach to Artificial Intelligence
Type
Physical Book
Author
Publisher
Language
English
Pages
820
Format
Paperback
Dimensions
22.9x15.3x2.8 cm
Weight
1.44 kg.
ISBN13
9789811527722
Categories

A Matrix Algebra Approach to Artificial Intelligence

Xian-Da Zhang (Author) · Springer · Paperback

A Matrix Algebra Approach to Artificial Intelligence - Zhang, Xian-Da

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Synopsis "A Matrix Algebra Approach to Artificial Intelligence"

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.

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The binding of this edition is Paperback.

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