Sharp analysis of low-rank kernel matrix approximations thumbnail
Pause
Mute
Subtitles
Playback speed
0.25
0.5
0.75
1
1.25
1.5
1.75
2
Full screen

Sharp analysis of low-rank kernel matrix approximations

Published on Aug 09, 20133935 Views

We consider supervised learning problems within the positive-definite kernel framework, such as kernel ridge regression, kernel logistic regression or the support vector machine. With kernels leading

Related categories

Chapter list

Untitled00:00
Untitled00:06
Untitled01:16
Untitled01:51
Untitled03:12
Untitled04:03
Untitled04:32
Untitled04:54