Efficient Bayesian Maximum Margin Multiple Kernel Learning
ECML/PKDD, pp. 165-181, 2016.
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
Get fulltext within 24h
Full Text (Upload PDF)
PPT (Upload PPT)