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OL
2011
177views Neural Networks» more  OL 2011»
12 years 10 months ago
Exploiting vector space properties to strengthen the relaxation of bilinear programs arising in the global optimization of proce
In this paper we present a methodology for finding tight convex relaxations for a special set of quadratic constraints given by bilinear and linear terms that frequently arise in ...
Juan P. Ruiz, Ignacio E. Grossmann
ICASSP
2009
IEEE
14 years 1 months ago
A global optimization framework for meeting summarization
We introduce a model for extractive meeting summarization based on the hypothesis that utterances convey bits of information, or concepts. Using keyphrases as concepts weighted by...
Daniel Gillick, Korbinian Riedhammer, Benoît...
KR
1998
Springer
13 years 11 months ago
Probabilistic Deduction with Conditional Constraints over Basic Events
We study the problem of probabilistic deduction with conditional constraints over basic events. We show that globallycomplete probabilistic deduction with conditional constraints ...
Thomas Lukasiewicz
TSMC
2008
140views more  TSMC 2008»
13 years 7 months ago
Adaptive Feedback Control by Constrained Approximate Dynamic Programming
A constrained approximate dynamic programming (ADP) approach is presented for designing adaptive neural network (NN) controllers with closed-loop stability and performance guarante...
S. Ferrari, J. E. Steck, R. Chandramohan
EOR
2006
79views more  EOR 2006»
13 years 7 months ago
Equilibrium constrained optimization problems
ABSTRACT. We consider equilibrium constrained optimization problems, which have a general formulation that encompasses well-known models such as mathematical programs with equilibr...
S. Ilker Birbil, Gemayqzel Bouza, J. B. G. Frenk, ...