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» Discrete stochastic optimization using linear interpolation
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ICPR
2008
IEEE
14 years 3 months ago
Optimal feature weighting for the discrete HMM
We propose a modified discrete HMM that includes a feature weighting discrimination component. We assume that the feature space is partitioned into subspaces and that the relevan...
Oualid Missaoui, Hichem Frigui
CASES
2004
ACM
14 years 2 months ago
Analytical computation of Ehrhart polynomials: enabling more compiler analyses and optimizations
Many optimization techniques, including several targeted specifically at embedded systems, depend on the ability to calculate the number of elements that satisfy certain conditio...
Sven Verdoolaege, Rachid Seghir, Kristof Beyls, Vi...
SODA
2010
ACM
208views Algorithms» more  SODA 2010»
14 years 6 months ago
Correlation Robust Stochastic Optimization
We consider a robust model proposed by Scarf, 1958, for stochastic optimization when only the marginal probabilities of (binary) random variables are given, and the correlation be...
Shipra Agrawal, Yichuan Ding, Amin Saberi, Yinyu Y...
CCE
2007
13 years 8 months ago
Water networks security: A two-stage mixed-integer stochastic program for sensor placement under uncertainty
This work describes a stochastic approach for the optimal placement of sensors in municipal water networks to detect maliciously injected contaminants. The model minimizes the exp...
Vicente Rico-Ramírez, Sergio Frausto-Hern&a...
SIAMSC
2008
140views more  SIAMSC 2008»
13 years 8 months ago
Newton-GMRES Preconditioning for Discontinuous Galerkin Discretizations of the Navier--Stokes Equations
We study preconditioners for the iterative solution of the linear systems arising in the implicit time integration of the compressible Navier-Stokes equations. The spatial discreti...
Per-Olof Persson, Jaime Peraire