03358nam 22005655 450 991040966790332120211020193544.0981-15-2770-910.1007/978-981-15-2770-8(CKB)4100000011264519(MiAaPQ)EBC6208491(DE-He213)978-981-15-2770-8(PPN)248393367(EXLCZ)99410000001126451920200522d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierA Matrix Algebra Approach to Artificial Intelligence /by Xian-Da Zhang1st ed. 2020.Singapore :Springer Singapore :Imprint: Springer,2020.1 online resource (xxxiv, 820 pages)981-15-2769-5 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.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. .Artificial intelligenceComputer scienceMathematicsMatricesAlgebraArtificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Math Applications in Computer Sciencehttps://scigraph.springernature.com/ontologies/product-market-codes/I17044Linear and Multilinear Algebras, Matrix Theoryhttps://scigraph.springernature.com/ontologies/product-market-codes/M11094Artificial intelligence.Computer scienceMathematics.Matrices.Algebra.Artificial Intelligence.Math Applications in Computer Science.Linear and Multilinear Algebras, Matrix Theory.006.3Zhang Xian-Daauthttp://id.loc.gov/vocabulary/relators/aut968603MiAaPQMiAaPQMiAaPQBOOK9910409667903321A Matrix Algebra Approach to Artificial Intelligence2200126UNINA