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» A Sequence Alignment Model Based on the Averaged Perceptron
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EMNLP
2007
9 years 4 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
9 years 13 days 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»
9 years 8 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»
9 years 2 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....
EMNLP
2007
9 years 4 months ago
A Discriminative Learning Model for Coordinate Conjunctions
We propose a sequence-alignment based method for detecting and disambiguating coordinate conjunctions. In this method, averaged perceptron learning is used to adapt the substituti...
Masashi Shimbo, Kazuo Hara
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