A Matrix Algebra Approach to Artificial Intelligence PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download A Matrix Algebra Approach to Artificial Intelligence PDF full book. Access full book title A Matrix Algebra Approach to Artificial Intelligence by Xian-Da Zhang. Download full books in PDF and EPUB format.

A Matrix Algebra Approach to Artificial Intelligence

A Matrix Algebra Approach to Artificial Intelligence PDF Author: Xian-Da Zhang
Publisher: Springer
ISBN: 9789811527722
Category : Computers
Languages : en
Pages : 0

Book Description
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.