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This lecture develops support vector machines from margin classifiers and linear separators through distance measurement, equivalent optimization, and the Lagrangian dual representation.
Syllabus
Introduction
What are support vector machines
Margin classifiers
Linear separators
Measuring distances
Equivalent optimization
Support vector machines
Dual representation
Lagrangian
Inner minimization
Summary
Classification
Taught by
Pascal Poupart