| 期刊全称 | A Matrix Algebra Approach to Artificial Intelligence | | 影响因子2023 | Xian-Da Zhang | | 视频video | | | 发行地址 | Proposes the machine learning tree, the neural network tree and the evolutionary computation tree.Presents the solid matrix algebra theory and methods for machine learning, neural networks, support ve | | 图书封面 |  | | 影响因子 | .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. . | | Pindex | Book 2020 |
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发表于 2025-3-21 17:33:51
