标签:cer design -128 prim condition sum lib port you
possible kernels:
polynomial, Gaussian,..., your design (with Mercer’s condition),
coupled with
powerful extension of linear models
with great power comes great responsibility
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
机器学习技法:06 Support Vector Regression
标签:cer design -128 prim condition sum lib port you
原文地址:http://www.cnblogs.com/cherrychenlee/p/7754877.html