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CIKM
2008
Springer
15 years 8 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan
BMCBI
2008
121views more  BMCBI 2008»
15 years 6 months ago
BioSAVE: Display of scored annotation within a sequence context
Background: Visualization of sequence annotation is a common feature in many bioinformatics tools. For many applications it is desirable to restrict the display of such annotation...
Richard F. Pollock, Boris Adryan
CORR
2010
Springer
95views Education» more  CORR 2010»
15 years 6 months ago
Performance evaluation for ML sequence detection in ISI channels with Gauss Markov Noise
Inter-symbol interference (ISI) channels with data dependent Gauss Markov noise have been used to model read channels in magnetic recording and other data storage systems. The Vite...
Naveen Kumar, Aditya Ramamoorthy, Murti V. Salapak...
BMCBI
2006
98views more  BMCBI 2006»
15 years 6 months ago
Scanning sequences after Gibbs sampling to find multiple occurrences of functional elements
Background: Many DNA regulatory elements occur as multiple instances within a target promoter. Gibbs sampling programs for finding DNA regulatory elements de novo can be prohibiti...
Kannan Tharakaraman, Leonardo Mariño-Ram&ia...
BMCBI
2005
158views more  BMCBI 2005»
15 years 6 months ago
Automated generation of heuristics for biological sequence comparison
Background: Exhaustive methods of sequence alignment are accurate but slow, whereas heuristic approaches run quickly, but their complexity makes them more difficult to implement. ...
Guy St. C. Slater, Ewan Birney