548 search results - page 10 / 110 » Optimization of Convex Risk Functions |
90
Voted
BMVC
2010
14 years 10 months ago
2010
This paper studies image segmentation based on the minimum description length (MDL) functional combining spatial regularization with a penality for the number of distinct segments...
99
Voted
ICASSP
2009
IEEE
15 years 7 months ago
2009
IEEE
—We consider constrained minimization of a sum of convex functions over a convex and compact set, when each component function is known only to a specific agent in a timevarying...
105
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MOR
2006
15 years 9 days ago
2006
In multicriteria optimization, several objective functions, conflicting with each other, have to be minimized simultaneously. We propose a new efficient method for approximating t...
JGO
2010
14 years 10 months ago
2010
We consider a generalized equilibrium problem involving DC functions which is called (GEP). For this problem we establish two new dual formulations based on Toland-Fenchel-Lagrange...
107
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JMLR
2010
14 years 10 months ago
2010
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and differen...