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SODA
2003
ACM
125views Algorithms» more  SODA 2003»
15 years 3 months ago
Random MAX SAT, random MAX CUT, and their phase transitions
With random inputs, certain decision problems undergo a “phase transition”. We prove similar behavior in an optimization context. Given a conjunctive normal form (CNF) formula...
Don Coppersmith, David Gamarnik, Mohammad Taghi Ha...
UAI
2004
15 years 3 months ago
An Empirical Evaluation of Possible Variations of Lazy Propagation
As real-world Bayesian networks continue to grow larger and more complex, it is important to investigate the possibilities for improving the performance of existing algorithms of ...
Andres Madsen
CP
1997
Springer
15 years 6 months ago
Heavy-Tailed Distributions in Combinatorial Search
Abstract. Combinatorial search methods often exhibit a large variability in performance. We study the cost pro les of combinatorial search procedures. Our study reveals some intrig...
Carla P. Gomes, Bart Selman, Nuno Crato
IJON
2007
134views more  IJON 2007»
15 years 2 months ago
Analysis of SVM regression bounds for variable ranking
This paper addresses the problem of variable ranking for Support Vector Regression. The relevance criteria that we proposed are based on leave-one-out bounds and some variants and...
Alain Rakotomamonjy
ICML
2007
IEEE
16 years 3 months ago
Transductive support vector machines for structured variables
We study the problem of learning kernel machines transductively for structured output variables. Transductive learning can be reduced to combinatorial optimization problems over a...
Alexander Zien, Ulf Brefeld, Tobias Scheffer