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ICML
2007
IEEE
14 years 11 months ago
Efficiently computing minimax expected-size confidence regions
Given observed data and a collection of parameterized candidate models, a 1- confidence region in parameter space provides useful insight as to those models which are a good fit t...
Brent Bryan, H. Brendan McMahan, Chad M. Schafer, ...
INFORMS
2010
147views more  INFORMS 2010»
13 years 7 months ago
Exact Algorithms for the Quadratic Linear Ordering Problem
The quadratic linear ordering problem naturally generalizes various optimization problems, such as bipartite crossing minimization or the betweenness problem, which includes linear...
Christoph Buchheim, Angelika Wiegele, Lanbo Zheng
DEXAW
2008
IEEE
119views Database» more  DEXAW 2008»
14 years 4 months ago
Evolutionary Approaches to Linear Ordering Problem
Linear Ordering Problem (LOP) is a well know optimization problem attractive for its complexity (it is a NPhard problem), rich collection of testing data and variety of real world...
Václav Snásel, Pavel Krömer, Ja...
DEXA
2004
Springer
131views Database» more  DEXA 2004»
14 years 3 months ago
Partially Ordered Preferences Applied to the Site Location Problem in Urban Planning
Abstract. This paper presents an application that aims at identifying optimal locations based on partially ordered constraints. It combines a tool developed in this project that al...
Sylvain Lagrue, Rodolphe Devillers, Jean-Yves Besq...
GECCO
2003
Springer
122views Optimization» more  GECCO 2003»
14 years 3 months ago
Designing A Hybrid Genetic Algorithm for the Linear Ordering Problem
The Linear Ordering Problem(LOP), which is a well-known NP-hard problem, has numerous applications in various fields. Using this problem as an example, we illustrate a general pro...
Gaofeng Huang, Andrew Lim