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A Matrix Algebra Approach to Artificial Intelligence

A Matrix Algebra Approach to Artificial Intelligence

von Xian-Da Zhang
Hardcover - 9789811527692
246,09 €
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Softcover - 9789811527722
246,09 €

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Weitere Formate

Softcover - 9789811527722
246,09 €

Beschreibung

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.  

Details

Verlag Springer Singapore
Ersterscheinung 23. Mai 2020
Maße 23.5 cm x 15.5 cm
Gewicht 1587 Gramm
Format Hardcover
ISBN-13 9789811527692
Seiten 820

Schlagwörter

Algebra, Artificial Intelligence, Künstliche Intelligenz, Linear Algebra, Mathematical Applications in Computer Science, Theoretische Informatik

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