Lecture

Support Vector Machines: Theory and Optimization

In course

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Description

This lecture covers the theory and optimization of Support Vector Machines (SVM). It explains the Mercer's Theorem for valid kernels, the concept of Kernel matrix, and the mathematical formulation of SVM. The instructor discusses the hyperplane equation, the role of normal vectors, and the Lagrange Duality in SVM optimization.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_idcpqjx2

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Ontological neighbourhood

Mathematics

Algebra: Linear algebra

Theoretical computer science

Algorithms and data structures: Combinatorial optimization

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