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ICML
2006
IEEE
16 years 5 months ago
Convex optimization techniques for fitting sparse Gaussian graphical models
We consider the problem of fitting a large-scale covariance matrix to multivariate Gaussian data in such a way that the inverse is sparse, thus providing model selection. Beginnin...
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'...
SAT
2005
Springer
142views Hardware» more  SAT 2005»
15 years 10 months ago
Optimizations for Compiling Declarative Models into Boolean Formulas
Advances in SAT solver technology have enabled many automated analysis and reasoning tools to reduce their input problem to a SAT problem, and then to use an efficient SAT solver ...
Darko Marinov, Sarfraz Khurshid, Suhabe Bugrara, L...
COMPGEOM
1995
ACM
15 years 8 months ago
How Good are Convex Hull Algorithms?
A convex polytope P can be speci ed in two ways: as the convex hull of the vertex set V of P, or as the intersection of the set H of its facet-inducing halfspaces. The vertex enum...
David Avis, David Bremner
SIAMJO
2010
97views more  SIAMJO 2010»
14 years 11 months ago
A Newton-CG Augmented Lagrangian Method for Semidefinite Programming
Abstract. We consider a Newton-CG augmented Lagrangian method for solving semidefinite programming (SDP) problems from the perspective of approximate semismooth Newton methods. In ...
Xin-Yuan Zhao, Defeng Sun, Kim-Chuan Toh
IVA
2007
Springer
15 years 10 months ago
Towards Fast Prototyping of IVAs Behavior: Pogamut 2
We present the platform for IVAs development in the human like environment of the first-person shooter game Unreal Tournament 2004. This environment is extendible and supported by ...
Ondrej Burkert, Rudolf Kadlec, Jakub Gemrot, Micha...