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» A Graphical Model for Evolutionary Optimization
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EMO
2005
Springer
68views Optimization» more  EMO 2005»
15 years 5 months ago
Multi-objective Optimization of Problems with Epistemic Uncertainty
Abstract. Multi-objective evolutionary algorithms (MOEAs) have proven to be a powerful tool for global optimization purposes of deterministic problem functions. Yet, in many real-w...
Philipp Limbourg
ISCI
2010
111views more  ISCI 2010»
14 years 10 months ago
Effective vaccination policies
We present a framework for modeling the spread of pathogens throughout a population and generating policies that minimize the impact of those pathogens on the population. This fra...
L. Shaw, W. Spears, L. Billings, P. Maxim
ICDM
2006
IEEE
183views Data Mining» more  ICDM 2006»
15 years 5 months ago
Accelerating Newton Optimization for Log-Linear Models through Feature Redundancy
— Log-linear models are widely used for labeling feature vectors and graphical models, typically to estimate robust conditional distributions in presence of a large number of pot...
Arpit Mathur, Soumen Chakrabarti
CDC
2009
IEEE
157views Control Systems» more  CDC 2009»
15 years 4 months ago
On trajectory optimization for active sensing in Gaussian process models
Abstract— We consider the problem of optimizing the trajectory of a mobile sensor with perfect localization whose task is to estimate a stochastic, perhaps multidimensional fiel...
Jerome Le Ny, George J. Pappas
PG
2003
IEEE
15 years 5 months ago
Bounding Recursive Procedural Models Using Convex Optimization
We present an algorithm to construct a tight bounding polyhedron for a recursive procedural model. We first use an iterated function system (IFS) to represent the extent of the p...
Orion Sky Lawlor, John C. Hart