439 search results - page 11 / 88 » Maximum entropy methods for biological sequence modeling |
121
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INTERSPEECH
2010
14 years 10 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...
157
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AUSAI
2008
Springer
15 years 6 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,...
152
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VLSISP
1998
15 years 3 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...
120
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ISMB
2001
15 years 5 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...
156
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ACL
2007
15 years 5 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...