3168 search results - page 219 / 634 » Neutrosophic Relational Data Model |
134
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EMMCVPR
2001
Springer
15 years 8 months ago
2001
Springer
Hidden Markov Models (HMMs) are an useful and widely utilized approach to the modeling of data sequences. One of the problems related to this technique is finding the optimal stru...
169
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NAACL
2010
15 years 1 months ago
2010
Machine translation benefits from two types of decoding techniques: consensus decoding over multiple hypotheses under a single model and system combination over hypotheses from di...
150
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JMLR
2011
14 years 11 months ago
2011
We propose a fully Bayesian methodology for generalized kernel mixed models (GKMMs), which are extensions of generalized linear mixed models in the feature space induced by a repr...
147
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RECOMB
2003
Springer
16 years 4 months ago
2003
Springer
We propose a framework for modeling sequence motifs based on the maximum entropy principle (MEP). We recommend approximating short sequence motif distributions with the maximum en...
138
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WABI
2007
Springer
15 years 10 months ago
2007
Springer
Christopher James Langmead⋆ and Sumit Kumar Jha Department of Computer Science, Carnegie Mellon University We present a novel approach for predicting protein folding kinetics us...