2252 search results - page 225 / 451 » A distributed machine learning framework |
110
Voted
JMLR
2010
14 years 8 months ago
2010
Various supervised inference methods can be analyzed as convex duals of the generalized maximum entropy (MaxEnt) framework. Generalized MaxEnt aims to find a distribution that max...
79
Voted
ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
We present a variational Bayesian framework for performing inference, density estimation and model selection in a special class of graphical models--Hidden Markov Random Fields (H...
135
Voted
COLT
1995
Springer
15 years 4 months ago
1995
Springer
We investigate the problem of estimating the proportion vector which maximizes the likelihood of a given sample for a mixture of given densities. We adapt a framework developed for...
108
Voted
ICML
2010
IEEE
15 years 2 months ago
2010
IEEE
We study an interesting and challenging problem, online streaming feature selection, in which the size of the feature set is unknown, and not all features are available for learni...
120
Voted
BMCBI
2010
15 years 1 months ago
2010
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...