LM101-047: How Build a Support Vector Machine to Classify Patterns (Rerun)
Learning Machines 101 - Un pódcast de Richard M. Golden, Ph.D., M.S.E.E., B.S.E.E.
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We explain how to estimate the parameters of such machines to classify a pattern vector as a member of one of two categories as well as identify special pattern vectors called “support vectors” which are important for characterizing the Support Vector Machine decision boundary. The relationship of Support Vector Machine parameter estimation and logistic regression parameter estimation is also discussed.
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