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» Asymptotics of the Entropy Rate for a Hidden Markov Process
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CORR
2006
Springer
90views Education» more  CORR 2006»
13 years 7 months ago
On entropy for mixtures of discrete and continuous variables
Let X be a discrete random variable with support S and f : S S be a bijection. Then it is wellknown that the entropy of X is the same as the entropy of f(X). This entropy preserva...
Chandra Nair, Balaji Prabhakar, Devavrat Shah
RECOMB
2003
Springer
14 years 7 months ago
Combining phylogenetic and hidden Markov models in biosequence analysis
A few models have appeared in recent years that consider not only the way substitutions occur through evolutionary history at each site of a genome, but also the way the process c...
Adam C. Siepel, David Haussler
ACL
1998
13 years 8 months ago
Improving Data Driven Wordclass Tagging by System Combination
In this paper we examine how the differences in modelling between different data driven systems performing the same NLP task can be exploited to yield a higher accuracy than the b...
Hans van Halteren, Jakub Zavrel, Walter Daelemans
BMCBI
2010
105views more  BMCBI 2010»
13 years 7 months ago
Subdivision of the MDR superfamily of medium-chain dehydrogenases/reductases through iterative hidden Markov model refinement
Background: The Medium-chain Dehydrogenases/Reductases (MDR) form a protein superfamily whose size and complexity defeats traditional means of subclassification; it currently has ...
Joel Hedlund, Hans Jörnvall, Bengt Persson
ICIAP
2009
ACM
14 years 8 months ago
A New Generative Feature Set Based on Entropy Distance for Discriminative Classification
Abstract. Score functions induced by generative models extract fixeddimensions feature vectors from different-length data observations by subsuming the process of data generation, ...
Alessandro Perina, Marco Cristani, Umberto Castell...