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» Unsupervised Learning in Spectral Genome Analysis
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BMCBI
2006
119views more  BMCBI 2006»
13 years 5 months ago
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Stephen Winters-Hilt
BIBM
2008
IEEE
142views Bioinformatics» more  BIBM 2008»
13 years 11 months ago
Using Global Sequence Similarity to Enhance Biological Sequence Labeling
Identifying functionally important sites from biological sequences, formulated as a biological sequence labeling problem, has broad applications ranging from rational drug design ...
Cornelia Caragea, Jivko Sinapov, Drena Dobbs, Vasa...
INFOCOM
2010
IEEE
13 years 3 months ago
Know Thy Neighbor: Towards Optimal Mapping of Contacts to Social Graphs for DTN Routing
—Delay Tolerant Networks (DTN) are networks of self-organizing wireless nodes, where end-to-end connectivity is intermittent. In these networks, forwarding decisions are generall...
Theus Hossmann, Thrasyvoulos Spyropoulos, Franck L...