03871nam 2200913z- 450 991055761030332120220321(CKB)5400000000045299(oapen)https://directory.doabooks.org/handle/20.500.12854/79633(oapen)doab79633(EXLCZ)99540000000004529920202203d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierComputational Optimizations for Machine LearningBaselMDPI - Multidisciplinary Digital Publishing Institute20221 online resource (276 p.)3-0365-3186-6 3-0365-3187-4 The present book contains the 10 articles finally accepted for publication in the Special Issue "Computational Optimizations for Machine Learning" of the MDPI journal Mathematics, which cover a wide range of topics connected to the theory and applications of machine learning, neural networks and artificial intelligence. These topics include, among others, various types of machine learning classes, such as supervised, unsupervised and reinforcement learning, deep neural networks, convolutional neural networks, GANs, decision trees, linear regression, SVM, K-means clustering, Q-learning, temporal difference, deep adversarial networks and more. It is hoped that the book will be interesting and useful to those developing mathematical algorithms and applications in the domain of artificial intelligence and machine learning as well as for those having the appropriate mathematical background and willing to become familiar with recent advances of machine learning computational optimization mathematics, which has nowadays permeated into almost all sectors of human life and activity.Mathematics & sciencebicsscResearch & information: generalbicsscARIMA modelartificial intelligenceautoencodersbed roughnessbio-inspired algorithmsCNN architecturecomputational intelligenceconvolutional neural networkdeep compressiondeep learningdeep neural networksDNNenergy dissipationevolution of weightsevolutionary algorithmsevolutionary computationfeature selectionfloating-point numbersFLOW-3Dgeneralization errorgenetic algorithmshardware accelerationHeating, Ventilation and Air Conditioning (HVAC)hydraulic jumpslow powermachine learningmeta-heuristic optimizationmetaheuristics searchmodel predictive controlmulti-objective optimizationnature inspired algorithmsneural networksnonlinear systemsonline model selectiononline optimizationprecipitation nowcastingquantizationradar datarecurrent neural networksReLUsensitivity analysissmart buildingsoft computingswarm intelligencetime series analysistrainingMathematics & scienceResearch & information: generalGabbay Freddyedt1304465Gabbay FreddyothBOOK9910557610303321Computational Optimizations for Machine Learning3027447UNINA