BriefGPT.xyz
Sep, 2008
使用分层多核学习探索大型特征空间
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning
HTML
PDF
Francis Bach
TL;DR
使用正定核函数和稀疏奖励惩罚来实现高维特征空间中的多核学习，从而在非线性变量选择中取得卓越的预测性能。
Abstract
For supervised and
unsupervised learning
,
positive definite kernels
allow to use large and potentially infinite dimensional feature spaces with a computational cost that only depends on the number of observations
→