29 search results - page 4 / 6 » Convex approximations for a class of mixed-integer recourse ... |
JMLR
2010
13 years 2 months ago
2010
The FastInf C++ library is designed to perform memory and time efficient approximate inference in large-scale discrete undirected graphical models. The focus of the library is pro...
CORR
2012
Springer
12 years 3 months ago
2012
Springer
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
CORR
2006
Springer
13 years 7 months ago
2006
Springer
Consider the problem of joint parameter estimation and prediction in a Markov random field: i.e., the model parameters are estimated on the basis of an initial set of data, and th...
SODA
2010
ACM
14 years 4 months ago
2010
ACM
We consider robust network design problems where the set of feasible demands may be given by an arbitrary polytope or convex body more generally. This model, introduced by BenAmeu...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Neural networks are a useful alternative to Gaussian mixture models for acoustic modeling; however, training multilayer networks involves a difficult, nonconvex optimization that...