Pareto-Path Multi-Task Multiple Kernel Learning
Published in arXiv (Cornell University) • Apr 11, 2014
NobleIDNI5P96W63R83S97
Authors:,,
Li, Cong
Georgiopoulos, Michael
Anagnostopoulos, Georgios C.
Abstract
A traditional and intuitively appealing Multi-Task Multiple Kernel Learning (MT-MKL) method is to optimize the sum (thus, the average) of objective functions with (partially) shared kernel function, which allows information sharing amongst tasks. We point out that the obtained solution corresponds t...
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