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ANOR
2006
58views more  ANOR 2006»
15 years 5 months ago
A management system for decompositions in stochastic programming
This paper presents two contributions: A set of routines that manipulate instances of stochastic programming problems in order to make them more amenable for different solution ap...
Robert Fourer, Leo Lopes
CORR
2006
Springer
139views Education» more  CORR 2006»
15 years 4 months ago
Functional Brain Imaging with Multi-Objective Multi-Modal Evolutionary Optimization
Functional brain imaging is a source of spatio-temporal data mining problems. A new framework hybridizing multi-objective and multimodal optimization is proposed to formalize these...
Vojtech Krmicek, Michèle Sebag
JCC
2008
91views more  JCC 2008»
15 years 4 months ago
An improved pairwise decomposable finite-difference Poisson-Boltzmann method for computational protein design
Abstract: Our goal is to develop accurate electrostatic models that can be implemented in current computational protein design protocols. To this end, we improve upon a previously ...
Christina L. Vizcarra, Naigong Zhang, Shannon A. M...
132
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ICSM
2005
IEEE
15 years 10 months ago
Context-Free Slicing of UML Class Models
In the work presented here, we introduce a method to automatically generate a subset of a UML class model based on a user-defined criterion. The goal of this work is to allow us to...
Huzefa H. Kagdi, Jonathan I. Maletic, Andrew Sutto...
CDC
2008
IEEE
15 years 11 months ago
Shannon meets Bellman: Feature based Markovian models for detection and optimization
— The goal of this paper is to develop modeling techniques for complex systems for the purposes of control, estimation, and inference: (i) A new class of Hidden Markov Models is ...
Sean P. Meyn, George Mathew