Mathematical Analysis for Machine Learning and Data Mining

DOI10.1142/10702zbMATH Open1396.68005OpenAlexW2739288652MaRDI QIDQ4568325

Dan A. Simovici

Publication date: 19 June 2018

Full work available at URL: https://doi.org/10.1142/10702

zbMATH Keywords

normoptimizationiterative algorithmBanach spacesweak convergenceneural networkrandom variablesHilbert spacesmetric spacemeasurable spaceconvex functionsinner producttopologyintegrationconvex setlogistic regressionlinear spacehomeomorphismdata miningRiemann integralregressionlinear regressionmachine learningback-propagationLebesgue integraltopological linear spacesupport vector machineextremumquasi-convex functionrandom vectorsneighbourhoodpseudo-convex functiondifferentiability of functionsgeneral optimization problemlimit of function

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Research exposition (monographs, survey articles) pertaining to computer science (68-02)

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