Computational Optimizations for Machine Learning

• Autres auteurs: Gabbay, Freddy (Éditeur intellectuel)
• Format: Électronique Chapitre de livre
• Langue: anglais
• Publié: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Sujets: Research & information: general; Mathematics & science; ARIMA model; time series analysis; online optimization; online model selection; precipitation nowcasting; deep learning; autoencoders; radar data; generalization error; recurrent neural networks; machine learning; model predictive control; nonlinear systems; neural networks; low power; quantization; CNN architecture; multi-objective optimization; genetic algorithms; evolutionary computation; swarm intelligence; Heating, Ventilation and Air Conditioning (HVAC); metaheuristics search; bio-inspired algorithms; smart building; soft computing; training; evolution of weights; artificial intelligence; deep neural networks; convolutional neural network; deep compression; DNN; ReLU; floating-point numbers; hardware acceleration; energy dissipation; FLOW-3D; hydraulic jumps; bed roughness; sensitivity analysis; feature selection; evolutionary algorithms; nature inspired algorithms; meta-heuristic optimization; computational intelligence
• Accès en ligne: DOAB: download the publication; DOAB: description of the publication

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 networ...