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SIAMMAX
2010
145views more  SIAMMAX 2010»
15 years 1 months ago
Adaptive First-Order Methods for General Sparse Inverse Covariance Selection
In this paper, we consider estimating sparse inverse covariance of a Gaussian graphical model whose conditional independence is assumed to be partially known. Similarly as in [5],...
Zhaosong Lu
CEC
2005
IEEE
15 years 8 months ago
Final exam scheduler - FES
Timetabling problems are constraint optimization problems proven to be NP complete. Furthermore, evaluation of violations is costly, and there is no common data format for represen...
Ender Özcan, Ersan Ersoy
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 10 months ago
A general coarse-graining framework for studying simultaneous inter-population constraints induced by evolutionary operations
The use of genotypic populations is necessary for adaptation in Evolutionary Algorithms. We use a technique called form-invariant commutation to study the immediate effect of evol...
Keki M. Burjorjee, Jordan B. Pollack
CVPR
2010
IEEE
16 years 2 months ago
Efficient Piecewise Learning for Conditional Random Fields
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
Karteek Alahari, Phil Torr
CONSTRAINTS
2007
100views more  CONSTRAINTS 2007»
15 years 6 months ago
Design of Financial CDO Squared Transactions Using Constraint Programming
We give an approximate and often extremely fast method of building a particular kind of portfolio in finance, here called a portfolio design (PD), with applications in the credit ...
Pierre Flener, Justin Pearson, Luis G. Reyna, Olof...