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186
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MP
2006
175views more  MP 2006»
15 years 6 months ago
Conditional Value-at-Risk in Stochastic Programs with Mixed-Integer Recourse
In classical two-stage stochastic programming the expected value of the total costs is minimized. Recently, mean-risk models - studied in mathematical finance for several decades -...
Rüdiger Schultz, Stephan Tiedemann
NC
2006
116views Neural Networks» more  NC 2006»
15 years 6 months ago
Automated Design and Programming of a Microfluidic DNA Computer
Previously, we described ways to implement the functions AND and OR in a DNA computer consisting of microreactors with attached heating elements that control annealing of DNA. Base...
Michael S. Livstone, Ron Weiss, Laura F. Landweber
153
Voted
PAMI
2006
126views more  PAMI 2006»
15 years 6 months ago
Estimation of Nonlinear Errors-in-Variables Models for Computer Vision Applications
In an errors-in-variables (EIV) model, all the measurements are corrupted by noise. The class of EIV models with constraints separable into the product of two nonlinear functions, ...
Bogdan Matei, Peter Meer
SIAMJO
2008
105views more  SIAMJO 2008»
15 years 6 months ago
On Stability of Multistage Stochastic Programs
We study the quantitative stability of linear multistage stochastic programs under perturbations of the underlying stochastic processes. It is shown that the optimal values behave...
Christian Küchler
AI
2005
Springer
15 years 6 months ago
Fast Protein Superfamily Classification Using Principal Component Null Space Analysis
Abstract. The protein family classification problem, which consists of determining the family memberships of given unknown protein sequences, is very important for a biologist for ...
Leon French, Alioune Ngom, Luis Rueda