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EOR
2007
101views more  EOR 2007»
13 years 7 months ago
Optimizing an objective function under a bivariate probability model
The motivation of this paper is to obtain an analytical closed form of a quadratic objective function arising from a stochastic decision process with bivariate exponential probabi...
Xavier Brusset, Nico M. Temme
ISAAC
2005
Springer
127views Algorithms» more  ISAAC 2005»
14 years 1 months ago
Decision Making Based on Approximate and Smoothed Pareto Curves
Abstract. We consider bicriteria optimization problems and investigate the relationship between two standard approaches to solving them: (i) computing the Pareto curve and (ii) the...
Heiner Ackermann, Alantha Newman, Heiko Rögli...
ICCD
2001
IEEE
176views Hardware» more  ICCD 2001»
14 years 4 months ago
BDD Variable Ordering by Scatter Search
Reduced Ordered Binary Decision Diagrams (BDDs) are a data structure for representation and manipulation of Boolean functions which are frequently used in VLSI Design Automation. ...
William N. N. Hung, Xiaoyu Song
SAC
2009
ACM
14 years 2 months ago
Exploiting weak dependencies in tree-based search
In this work, our objective is to heuristically discover a simplified form of functional dependencies between variables called weak dependencies. Once discovered, these relations...
Alejandro Arbelaez, Youssef Hamadi
UAI
2004
13 years 9 months ago
Case-Factor Diagrams for Structured Probabilistic Modeling
We introduce a probabilistic formalism subsuming Markov random fields of bounded tree width and probabilistic context free grammars. Our models are based on a representation of Bo...
David A. McAllester, Michael Collins, Fernando Per...