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Cookie akzeptieren![Zhang, Xian-Da. A Matrix Algebra Approach to Artificial Intelligence. Springer Nature Singapore, 2021.](https://eichendorff21.de/cdata/yOTnnE7JmUK3odCIZvbtY6SddsE=/300x0/9789811527722.png)
Xian-Da Zhang
A Matrix Algebra Approach to Artificial Intelligence
- Springer Nature Singapore
- 2021
- Taschenbuch
- 856 Seiten
- ISBN 9789811527722
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
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