616 search results - page 119 / 124 » Hierarchical Hidden Markov Models for Information Extraction |
90
Voted
BMCBI
2008
14 years 9 months ago
2008
Background: Protein secondary structure prediction method based on probabilistic models such as hidden Markov model (HMM) appeals to many because it provides meaningful informatio...
121
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TNN
2010
14 years 4 months ago
2010
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
TASLP
2008
14 years 8 months ago
2008
Robust data retrieval in the presence of uncertainty is a challenging problem in multimedia information retrieval. In query-by-humming (QBH) systems, uncertainty can arise in query...
104
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CORR
2012
Springer
13 years 5 months ago
2012
Springer
Determinantal point processes (DPPs), which arise in random matrix theory and quantum physics, are natural models for subset selection problems where diversity is preferred. Among...
100
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BMCBI
2006
14 years 9 months ago
2006
Background: The statistical modeling of biomedical corpora could yield integrated, coarse-to-fine views of biological phenomena that complement discoveries made from analysis of m...