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» Robustness and Generalization
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FOCS
2005
IEEE
15 years 9 months ago
How to Pay, Come What May: Approximation Algorithms for Demand-Robust Covering Problems
Robust optimization has traditionally focused on uncertainty in data and costs in optimization problems to formulate models whose solutions will be optimal in the worstcase among ...
Kedar Dhamdhere, Vineet Goyal, R. Ravi, Mohit Sing...
BMCBI
2006
106views more  BMCBI 2006»
15 years 4 months ago
Methodological study of affine transformations of gene expression data with proposed robust non-parametric multi-dimensional nor
Background: Low-level processing and normalization of microarray data are most important steps in microarray analysis, which have profound impact on downstream analysis. Multiple ...
Henrik Bengtsson, Ola Hössjer
AAAI
2012
13 years 6 months ago
Robust Cuts Over Time: Combatting the Spread of Invasive Species with Unreliable Biological Control
Widespread accounts of the harmful effects of invasive species have stimulated both practical and theoretical studies on how the spread of these destructive agents can be containe...
Gwen Spencer
GECCO
2007
Springer
164views Optimization» more  GECCO 2007»
15 years 10 months ago
A study of mutational robustness as the product of evolutionary computation
This paper investigates the ability of a tournament selection based genetic algorithm to find mutationally robust solutions to a simple combinatorial optimization problem. Two di...
Justin Schonfeld
GECCO
2005
Springer
117views Optimization» more  GECCO 2005»
15 years 9 months ago
A study of evolutionary robustness in stochastically tiled polyominos
Given an evolutionary optimization problem with many possible genotypes for each phenotype this study investigates if the evolved genes for a given phenotype are more robust to po...
Justin Schonfeld, Daniel A. Ashlock