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» Optimization of Convex Risk Functions
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ECCV
2010
Springer
13 years 11 months ago
Fast Optimization for Mixture Prior Models
Abstract. We consider the minimization of a smooth convex function regularized by the mixture of prior models. This problem is generally difficult to solve even each simpler regula...
Junzhou Huang, Shaoting Zhang, Dimitris N. Metaxas
KR
1994
Springer
14 years 2 months ago
Risk-Sensitive Planning with Probabilistic Decision Graphs
Probabilistic AI planning methods that minimize expected execution cost have a neutral attitude towards risk. We demonstrate how one can transform planning problems for risk-sensi...
Sven Koenig, Reid G. Simmons
ECCV
2008
Springer
15 years 8 days ago
Solving Image Registration Problems Using Interior Point Methods
Abstract. This paper describes a novel approach to recovering a parametric deformation that optimally registers one image to another. The method proceeds by constructing a global c...
Camillo J. Taylor, Arvind Bhusnurmath
APIN
2005
127views more  APIN 2005»
13 years 10 months ago
Evolutionary Radial Basis Functions for Credit Assessment
Credit analysts generally assess the risk of credit applications based on their previous experience. They frequently employ quantitative methods to this end. Among the methods used...
Estefane G. M. de Lacerda, André Carlos Pon...
CDC
2010
IEEE
112views Control Systems» more  CDC 2010»
13 years 5 months ago
Online Convex Programming and regularization in adaptive control
Online Convex Programming (OCP) is a recently developed model of sequential decision-making in the presence of time-varying uncertainty. In this framework, a decisionmaker selects ...
Maxim Raginsky, Alexander Rakhlin, Serdar Yük...