Best Support Vector Machines Theory And Applications Reviews, Tips & Guides

# Product Name Image
1 Support Vector Machines: Theory and Applications (Studies in Fuzziness and Soft Computing) Support Vector Machines: Theory and Applications (Studies in Fuzziness and Soft Computing)
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2 Least Squares Support Vector Machines Least Squares Support Vector Machines
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3 The Nonlinear Workbook :Chaos, Fractals, Cellular Automata, Genetic Algorithms, Gene Expression Programming, Support Vector Machine, Wavelets, Hidden Markov ... Java and SymbolicC++ Programs
6th Edition The Nonlinear Workbook :Chaos, Fractals, Cellular Automata, Genetic Algorithms, Gene Expression Programming, Support Vector Machine, Wavelets, Hidden Markov ... Java and SymbolicC++ Programs 6th Edition
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4 Regularization, Optimization, Kernels, and Support Vector Machines (Chapman & Hall/Crc Machine Learning & Pattern Recognition Series) Regularization, Optimization, Kernels, and Support Vector Machines (Chapman & Hall/Crc Machine Learning & Pattern Recognition Series)
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5 Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms (The Springer International Series in Engineering and Computer Science Book 668) Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms (The Springer International Series in Engineering and Computer Science Book 668)
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6 Mathematical Analysis for Machine Learning and Data Mining Mathematical Analysis for Machine Learning and Data Mining
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7 A Gentle Introduction to Support Vector Machines in Biomedicine:Volume 2: Case Studies and Benchmarks A Gentle Introduction to Support Vector Machines in Biomedicine:Volume 2: Case Studies and Benchmarks
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8 Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series Book 29) Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series Book 29)
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9 Machine Learning for Spatial Environmental Data: Theory, Applications, and Software (Environmental Sciences: Environmental Engineering) Machine Learning for Spatial Environmental Data: Theory, Applications, and Software (Environmental Sciences: Environmental Engineering)
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10 The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics) The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
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Last Updated: 2021-05-10 by Vivian Strosin