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MP
2006
106views more  MP 2006»
13 years 8 months ago
Worst-case distribution analysis of stochastic programs
We show that for even quasi-concave objective functions the worst-case distribution, with respect to a family of unimodal distributions, of a stochastic programming problem is a u...
Alexander Shapiro
ICDM
2005
IEEE
116views Data Mining» more  ICDM 2005»
14 years 2 months ago
Learning Functional Dependency Networks Based on Genetic Programming
Bayesian Network (BN) is a powerful network model, which represents a set of variables in the domain and provides the probabilistic relationships among them. But BN can handle dis...
Wing-Ho Shum, Kwong-Sak Leung, Man Leung Wong
SWAT
2010
Springer
279views Algorithms» more  SWAT 2010»
14 years 1 months ago
Online Function Tracking with Generalized Penalties
We attend to the classic setting where an observer needs to inform a tracker about an arbitrary time varying function f : N0 → Z. This is an optimization problem, where both wron...
Marcin Bienkowski, Stefan Schmid
JMLR
2010
187views more  JMLR 2010»
13 years 3 months ago
SFO: A Toolbox for Submodular Function Optimization
In recent years, a fundamental problem structure has emerged as very useful in a variety of machine learning applications: Submodularity is an intuitive diminishing returns proper...
Andreas Krause
JSCIC
2008
148views more  JSCIC 2008»
13 years 8 months ago
Finite Element-Based Level Set Methods for Higher Order Flows
In this paper we shall discuss the numerical simulation of higher order geometric flows by level set methods. Main examples under considerations are surface diffusion and the Will...
Martin Burger, Christina Stöcker, Axel Voigt