Publications about 'Support Vector Machines'

Books and proceedings

1. Zhi-Hua Zhou. Machine Learning. Springer Singapore, 2021. Keyword(s): Machine Learning, Book on Machine Learning, Computer Science, Learning Algorithms, Neural Networks, Support Vector Machines, Decision Trees, Classification, Clustering, Supervised Learning, Semi-Supervised Learning, Unsupervised Learning, Metric Learning, Feature Selection, Rule Learning, Mathematical Models, Reinforcement Learning, Bayesian Networks, ML, AI, Artificial Intelligence. [Abstract] [bibtex-entry]



2. Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong. Mathematics for Machine Learning. Campbridge University Press, 2020. Keyword(s): Machine Learning, Textbook, Introduction to Machine Learning, Mathematical Foundations, Linear Algebra, Analytic Geometry, Matrix Decompositions, Vector Calculus, Probability, Distributions, Optimization, Central Machine Learning Problems, Models and Data, Linear Regression, Dimensionality Reduction, Principle Components Analysis, Density Estimation, Gaussian Mixture, Support Vector Machines. [bibtex-entry]

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This collection of SAR literature is far from being complete.
It is rather a collection of papers which I store in my literature data base. Hence, the list of publications under PUBLICATIONS OF AUTHOR'S NAME should NOT be mistaken for a complete bibliography of that author.

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