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MP
2006
90views more  MP 2006»
14 years 11 months ago
Solving multistage asset investment problems by the sample average approximation method
The vast size of real world stochastic programming instances requires sampling to make them practically solvable. In this paper we extend the understanding of how sampling affects ...
Jörgen Blomvall, Alexander Shapiro
IPPS
1998
IEEE
15 years 3 months ago
Solving the Maximum Clique Problem Using PUBB
Given an (undirected) graph G = V; E; a clique of G is a subset of vertices in which every pair is connected by an edge. The problem of finding a clique of maximum size is a class...
Yuji Shinano, Tetsuya Fujie, Yoshiko Ikebe, Ryuich...
AAAI
2000
15 years 10 days ago
Iterative Flattening: A Scalable Method for Solving Multi-Capacity Scheduling Problems
One challenge for research in constraint-based scheduling has been to produce scalable solution procedures under fairly general representational assumptions. Quite often, the comp...
Amedeo Cesta, Angelo Oddi, Stephen F. Smith
TCBB
2008
95views more  TCBB 2008»
14 years 11 months ago
Solving the Problem of Trans-Genomic Query with Alignment Tables
Abstract-- The trans-genomic query (TGQ) problem -- enabling the free query of biological information, even across genomes -- is a central challenge facing bioinformatics. Solution...
Douglas Stott Parker Jr., Ruey-Lung Hsiao, Yi Xing...
MICCAI
2004
Springer
15 years 12 months ago
Solving Incrementally the Fitting and Detection Problems in fMRI Time Series
We tackle the problem of real-time statistical analysis of functional magnetic resonance imaging (fMRI) data. In a recent paper, we proposed an incremental algorithm based on the e...
Alexis Roche, Philippe Pinel, Stanislas Dehaene, J...