Efficient Bayesian Maximum Margin Multiple Kernel Learning

Changde Du
Changde Du
Guoping Long
Guoping Long
Yucheng Li
Yucheng Li

ECML/PKDD, pp. 165-181, 2016.

Cited by: 2|Views6
EI

Abstract:

Multiple Kernel Learning MKL suffers from slow learning speed and poor generalization ability. Existing methods seldom address these problems well simultaneously. In this paper, by defining a multiclass pseudo- likelihood function that accounts for the margin loss for kernelized classification, we develop a robust Bayesian maximum margin ...More

Code:

Data:

Get fulltext within 24h
Bibtex
Your rating :
0

 

Tags
Comments