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Convex Optimization for Machine Learning
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New Perspectives on Optimization Algorithms Research
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Information Theory for Data Science
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Mathematical Optimization for Machine Learning
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Computational Optimization Techniques and Applications
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Particle Swarm Optimization with Applications
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Optimization Algorithms
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Chapter Genetic Algorithm Optimization of an Energy Storage System Design and Fuzzy Logic Supervision for Battery Electric Vehicles
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Chapter Optical Coherence Tomography – Applications in Non- Destructive Testing and Evaluation
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Sine Cosine Algorithm for Optimization
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Well Played
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Regularity of the One-phase Free Boundaries
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Linear Algebra
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Optimization Models and Applications
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Design of Heuristic Algorithms for Hard Optimization
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Modelling and solving the integrated locomotive scheduling and driver assignment problem with an extension to graph 2-list-colouring problem with compatibility constraints
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Temat: Convex Optimization, Deep Learning, Generative Adversarial Networks (GANs), TensorFlow, Supervised Learning, Wasserstein GAN, Strong Duality, Weak Duality, Computed Tomography
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Temat: thema EDItEUR::P Mathematics and Science::PB Mathematics::PBU Optimization
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Convex Optimization for Machine Learning
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Autor: Suh, Changho
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Information Theory for Data Science
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Convex Optimization for Machine Learning
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