ECE 595ML Lecture 3.2: Linear Regression with Kernels - Examples

By Stanley H. Chan

Electrical and Computer Engineering, Purdue University, West Lafayette, IN

Published on

Abstract

Outline:

  • Examples
    • Radial Basis Function (RBF)
    • Regression using RBF
    • Kernel Methods in Classification

References

Reading list:
Kernel Regression in Computer Vision

Cite this work

Researchers should cite this work as follows:

  • Stanley H. Chan (2020), "ECE 595ML Lecture 3.2: Linear Regression with Kernels - Examples," https://nanohub.org/resources/32211.

    BibTex | EndNote

Time

Location

WTHR 200, Purdue University, West Lafayette, IN