机器学习技法笔记:06 Support Vector Regression

Roadmap

机器学习技法笔记:06 Support Vector Regression

Kernel Ridge Regression

机器学习技法笔记:06 Support Vector Regression机器学习技法笔记:06 Support Vector Regression机器学习技法笔记:06 Support Vector Regression机器学习技法笔记:06 Support Vector Regression

Support Vector Regression Primal

机器学习技法笔记:06 Support Vector Regression机器学习技法笔记:06 Support Vector Regression机器学习技法笔记:06 Support Vector Regression机器学习技法笔记:06 Support Vector Regression机器学习技法笔记:06 Support Vector Regression机器学习技法笔记:06 Support Vector Regression机器学习技法笔记:06 Support Vector Regression

Support Vector Regression Dual

机器学习技法笔记:06 Support Vector Regression机器学习技法笔记:06 Support Vector Regression机器学习技法笔记:06 Support Vector Regression

Summary of Kernel Models

Map of Linear Models

机器学习技法笔记:06 Support Vector Regression

Map of Kernel Models

possible kernels:
polynomial, Gaussian,..., your design (with Mercer’s condition),
coupled with

机器学习技法笔记:06 Support Vector Regression

powerful extension of linear models
with great power comes great responsibility

Map of Linear/Kernel Models

机器学习技法笔记:06 Support Vector Regression

second row: popular in LIBLINEAR

fourth row: popular in LIBSVM

first row: less used due to worse performance

third row: less used due to dense beta

Summary

机器学习技法笔记:06 Support Vector Regression

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