A Matrix Algebra Approach to Artificial Intelligence / / by Xian-Da Zhang
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| Autore: |
Zhang Xian-Da
|
| Titolo: |
A Matrix Algebra Approach to Artificial Intelligence / / by Xian-Da Zhang
|
| Pubblicazione: | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Edizione: | 1st ed. 2020. |
| Descrizione fisica: | 1 online resource (xxxiv, 820 pages) |
| Disciplina: | 006.3 |
| Soggetto topico: | Artificial intelligence |
| Computer science - Mathematics | |
| Matrices | |
| Algebra | |
| Artificial Intelligence | |
| Math Applications in Computer Science | |
| Linear and Multilinear Algebras, Matrix Theory | |
| Nota di contenuto: | Part 1. Introduction to Matrix Algebra -- Chapter 1. Basic Matrix Computation -- Chapter 2. Matrix Differential -- Chapter 3. Gradient and Optimization -- Chapter 4. Solution of Linear Systems -- Chapter 5. Eigenvalue Decomposition -- Part 2. Artificial Intelligence -- Chapter 6. Machine Learning -- Chapter 7. Neural Networks -- Chapter 8. Support Vector Machines -- Chapter 9. Evolutionary Computation. |
| Sommario/riassunto: | 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. . |
| Titolo autorizzato: | A Matrix Algebra Approach to Artificial Intelligence |
| ISBN: | 981-15-2770-9 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910409667903321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |