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» A Sequence Alignment Model Based on the Averaged Perceptron
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EMNLP
2007
13 years 6 months ago
A Sequence Alignment Model Based on the Averaged Perceptron
We describe a discriminatively trained sequence alignment model based on the averaged perceptron. In common with other approaches to sequence modeling using perceptrons, and in co...
Dayne Freitag, Shahram Khadivi
NAACL
2010
13 years 2 months ago
Distributed Training Strategies for the Structured Perceptron
Perceptron training is widely applied in the natural language processing community for learning complex structured models. Like all structured prediction learning frameworks, the ...
Ryan T. McDonald, Keith Hall, Gideon Mann
WABI
2007
Springer
123views Bioinformatics» more  WABI 2007»
13 years 10 months ago
Inverse Sequence Alignment from Partial Examples
When aligning biological sequences, the choice of parameter values for the alignment scoring function is critical. Small changes in gap penalties, for example, can yield radically ...
Eagu Kim, John D. Kececioglu
BMCBI
2005
198views more  BMCBI 2005»
13 years 4 months ago
Clustering protein sequences with a novel metric transformed from sequence similarity scores and sequence alignments with neural
Background: The sequencing of the human genome has enabled us to access a comprehensive list of genes (both experimental and predicted) for further analysis. While a majority of t...
Qicheng Ma, Gung-Wei Chirn, Richard Cai, Joseph D....
BMCBI
2007
135views more  BMCBI 2007»
13 years 4 months ago
Automatic extraction of reliable regions from multiple sequence alignments
Background: High quality multiple alignments are crucial in the transfer of annotation from one genome to another. Multiple alignment methods strive to achieve ever increasing lev...
Timo Lassmann, Erik L. L. Sonnhammer