515 search results - page 10 / 103 » Structured parameter estimation for LFG-DOP |
NIPS
1998
13 years 11 months ago
1998
We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
ICML
2008
IEEE
14 years 10 months ago
2008
IEEE
Bayesian network classifiers have been widely used for classification problems. Given a fixed Bayesian network structure, parameters learning can take two different approaches: ge...
ICPR
2008
IEEE
14 years 11 months ago
2008
IEEE
This paper addresses the problem of learning archetypal structural models from examples. To this end we define a generative model for graphs where the distribution of observed nod...
MICCAI
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. In order to evaluate the quality of segmentations of an image and assess intra- and inter-expert variability in segmentation performance, an Expectation Maximization (EM)...
CIKM
2008
Springer
13 years 11 months ago
2008
Springer
Background: Accurate estimation of statistical significance of a pairwise alignment is an important problem in sequence comparison. Recently, a comparative study of pairwise stati...