Lecture

Mercer Theorem and Kernels

In course

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Description

This lecture covers the Mercer Theorem, Kernels, and their applications in machine learning, focusing on positive definite kernels, continuous functions, and the speed-up of kernel methods. It explains the concept of kernels, their properties, and how they can be used to efficiently solve complex problems.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_nmhp2jnc

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Ontological neighbourhood

Mathematics

Algebra: Linear algebra

Analysis: Complex analysis

Computer engineering

Computer architecture: Topics in computer architecture

Computer security: Public-key cryptography

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