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» Sequence Discrimination Using Phase-Type Distributions
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ECML
2006
Springer
13 years 8 months ago
Sequence Discrimination Using Phase-Type Distributions
Abstract We propose in this paper a novel approach to the classification of discrete sequences. This approach builds a model fitting some dynamical features deduced from the learni...
Jérôme Callut, Pierre Dupont
BMCBI
2006
118views more  BMCBI 2006»
13 years 4 months ago
Automatic generation of gene finders for eukaryotic species
Background: The number of sequenced eukaryotic genomes is rapidly increasing. This means that over time it will be hard to keep supplying customised gene finders for each genome. ...
Kasper Munch, Anders Krogh
ICASSP
2008
IEEE
13 years 11 months ago
Discriminative feature selection for hidden Markov models using Segmental Boosting
We address the feature selection problem for hidden Markov models (HMMs) in sequence classification. Temporal correlation in sequences often causes difficulty in applying featur...
Pei Yin, Irfan A. Essa, Thad Starner, James M. Reh...
ICML
2010
IEEE
13 years 5 months ago
High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
Gregory Druck, Andrew McCallum
BMCBI
2007
144views more  BMCBI 2007»
13 years 4 months ago
Application of amino acid occurrence for discriminating different folding types of globular proteins
Background: Predicting the three-dimensional structure of a protein from its amino acid sequence is a long-standing goal in computational/molecular biology. The discrimination of ...
Y.-h. Taguchi, M. Michael Gromiha