Computer Science
Kirjailija:
E-kirja, 2020
englanti
325,20 €
Lisää toivelistalle
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.
- Kirjailija
- Xian-Da Zhang
- ISBN
- 9789811527708
- Kieli
- englanti
- Julkaisupäivä
- 23.5.2020
- Kustantaja
- Springer Nature Singapore
