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100   $a20200522d2020      u|         0
101 0 $aeng
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182   $cc$2rdamedia
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200 12$aA Matrix Algebra Approach to Artificial Intelligence /$fby Xian-Da Zhang
205   $a1st ed. 2020.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020.
215   $a1 online resource (xxxiv, 820 pages)
311   $a981-15-2769-5 
327   $aPart 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.
330   $aMatrix 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. .
606   $aArtificial intelligence
606   $aComputer science$xMathematics
606   $aMatrices
606   $aAlgebra
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aMath Applications in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17044
606   $aLinear and Multilinear Algebras, Matrix Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/M11094
615  0$aArtificial intelligence.
615  0$aComputer science$xMathematics.
615  0$aMatrices.
615  0$aAlgebra.
615 14$aArtificial Intelligence.
615 24$aMath Applications in Computer Science.
615 24$aLinear and Multilinear Algebras, Matrix Theory.
676   $a006.3
700   $aZhang$b Xian-Da$4aut$4http://id.loc.gov/vocabulary/relators/aut$0968603
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906   $aBOOK
912   $a9910409667903321
996   $aA Matrix Algebra Approach to Artificial Intelligence$92200126
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