129 search results - page 7 / 26 » Expectation maximization algorithms for conditional likeliho... |
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KDD
2009
ACM
16 years 4 months ago
2009
ACM
Conditional random fields(CRFs) are a class of undirected graphical models which have been widely used for classifying and labeling sequence data. The training of CRFs is typicall...
129
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INEX
2005
Springer
15 years 9 months ago
2005
Springer
Abstract. This paper explores the possibility of using a modified Expectation-Maximization algorithm to estimate parameters for a simple hierarchical generative model for XML retr...
136
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IPSN
2003
Springer
15 years 8 months ago
2003
Springer
A novel source localization approach using acoustic energy measurements from the individual sensors in the sensor field is presented. This new approach is based on the acoustic en...
ICASSP
2010
IEEE
15 years 3 months ago
2010
IEEE
In this paper we present a novel approach for estimating featurespace maximum likelihood linear regression (fMLLR) transforms for full-covariance Gaussian models by directly maxim...
133
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NIPS
1998
15 years 4 months ago
1998
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...