机器学习技法笔记:06 Support Vector Regre
2019-05-02 本文已影响6人
cherryleechen
Roadmap
图1 Roadmap
Kernel Ridge Regression
图2 Kernel Ridge Regression1
图3 Kernel Ridge Regression2
图4 Kernel Ridge Regression3
图5 Kernel Ridge Regression4
Support Vector Regression Primal
图6 Support Vector Regression Primal1
图7 Support Vector Regression Primal2
图8 Support Vector Regression Primal3
图9 Support Vector Regression Primal4
图10 Support Vector Regression Primal5
图11 Support Vector Regression Primal6
图12 Support Vector Regression Primal7
Support Vector Regression Dual
图13 Support Vector Regression Dual1
图14 Support Vector Regression Dual2
图15 Support Vector Regression Dual3
Summary of Kernel Models
Map of Linear Models
图16 Map of Linear Models
Map of Kernel Models
possible kernels:
polynomial, Gaussian,..., your design (with Mercer’s condition),
coupled with
图17 Map of Kernel Models
powerful extension of linear models
with great power comes great responsibility
Map of Linear/Kernel Models
图18 Map of Linear/Kernel Models
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
图19 Summary