439 search results - page 11 / 88 » Maximum entropy methods for biological sequence modeling |
INTERSPEECH
2010
13 years 3 months ago
2010
In this paper, we propose a new semi-supervised training method for Gaussian Mixture Models. We add a conditional entropy minimizer to the maximum mutual information criteria, whi...
AUSAI
2008
Springer
13 years 11 months ago
2008
Springer
Hidden Markov Models are a widely used generative model for analysing sequence data. A variant, Profile Hidden Markov Models are a special case used in Bioinformatics to represent,...
VLSISP
1998
13 years 8 months ago
1998
This paper presents an adaptive structure self-organizing finite mixture network for quantification of magnetic resonance (MR) brain image sequences. We present justification fo...
ISMB
2001
13 years 10 months ago
2001
Accurately estimating probabilities from observations is important for probabilistic-based approaches to problems in computational biology. In this paper we present a biologically...
ACL
2007
13 years 10 months ago
2007
This paper presents a comparative study of five parameter estimation algorithms on four NLP tasks. Three of the five algorithms are well-known in the computational linguistics com...