98 search results - page 9 / 20 » Propagation Algorithms for Variational Bayesian Learning |
PAMI
2006
13 years 7 months ago
2006
We present a Bayesian method for mixture model training that simultaneously treats the feature selection and the model selection problem. The method is based on the integration of ...
ACL
2008
13 years 9 months ago
2008
We combine the strengths of Bayesian modeling and synchronous grammar in unsupervised learning of basic translation phrase pairs. The structured space of a synchronous grammar is ...
ICC
2007
IEEE
14 years 2 months ago
2007
IEEE
—An adaptive multiple input and multiple output with the code matrix index feedback [8]. One detector will (MIMO) system based on the unified belief propagation (BP) work in the ...
JMLR
2012
11 years 10 months ago
2012
The expectation maximization (EM) algorithm is a popular algorithm for parameter estimation in models with hidden variables. However, the algorithm has several non-trivial limitat...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...