A Matrix Algebra Approach to Artificial Intelligence
- Author
- Xian-Da Zhang
- Publication Year
- 2020
- Publisher
- Springer
- Language
- English
- Document Type
- Book
- Faculty / Subject Heading
- Computer Science
- Download Book Read book
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
Keywords: Computer science / Matrix Algebra / Artificial intelligence / Linear Algebra / Machine Learning / Neural Networks / Evolutionary Computation / Learning Systems / Learning Algorithms / Support Vector Machine
