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» Maximum likelihood analysis of algorithms and data structure...
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154
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IJDMB
2007
110views more  IJDMB 2007»
15 years 3 months ago
Transductive learning with EM algorithm to classify proteins based on phylogenetic profiles
: Phylogenetic profiles of proteins  strings of ones and zeros encoding respectively the presence and absence of proteins in a group of genomes  have recently been used to id...
Roger A. Craig, Li Liao
141
Voted
NAACL
2007
15 years 5 months ago
Bayesian Inference for PCFGs via Markov Chain Monte Carlo
This paper presents two Markov chain Monte Carlo (MCMC) algorithms for Bayesian inference of probabilistic context free grammars (PCFGs) from terminal strings, providing an altern...
Mark Johnson, Thomas L. Griffiths, Sharon Goldwate...
144
Voted
PCM
2007
Springer
99views Multimedia» more  PCM 2007»
15 years 10 months ago
Signer Adaptation Based on Etyma for Large Vocabulary Chinese Sign Language Recognition
Sign language recognition (SLR) with large vocabulary and signer independency is valuable and is still a big challenge. Signer adaptation is an important solution to signer indepen...
Yu Zhou, Wen Gao, Xilin Chen, Liang-Guo Zhang, Chu...
IJCAI
2007
15 years 5 months ago
Training Conditional Random Fields Using Virtual Evidence Boosting
While conditional random fields (CRFs) have been applied successfully in a variety of domains, their training remains a challenging task. In this paper, we introduce a novel trai...
Lin Liao, Tanzeem Choudhury, Dieter Fox, Henry A. ...
RECOMB
2003
Springer
16 years 4 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