A Matrix Algebra Approach to Artificial Intelligence
Autor: | Zhang, Xian-Da |
---|---|
EAN: | 9789811527692 |
Auflage: | 001 |
Sachgruppe: | Informatik, EDV |
Sprache: | Englisch |
Seitenzahl: | 856 |
Produktart: | Gebunden |
Veröffentlichungsdatum: | 23.05.2020 |
246,09 €*
Die Verfügbarkeit wird nach ihrer Bestellung bei uns geprüft.
Bücher sind in der Regel innerhalb von 1-2 Werktagen abholbereit.
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.