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» Algorithmic Randomness of Closed Sets
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127
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BMCBI
2010
154views more  BMCBI 2010»
15 years 3 months ago
An algorithm for automated closure during assembly
Background: Finishing is the process of improving the quality and utility of draft genome sequences generated by shotgun sequencing and computational assembly. Finishing can invol...
Sergey Koren, Jason R. Miller, Brian Walenz, Grang...
138
Voted
KDD
2009
ACM
178views Data Mining» more  KDD 2009»
16 years 4 months ago
Constrained optimization for validation-guided conditional random field learning
Conditional random fields(CRFs) are a class of undirected graphical models which have been widely used for classifying and labeling sequence data. The training of CRFs is typicall...
Minmin Chen, Yixin Chen, Michael R. Brent, Aaron E...
ICDM
2008
IEEE
137views Data Mining» more  ICDM 2008»
15 years 10 months ago
Iterative Set Expansion of Named Entities Using the Web
Set expansion refers to expanding a partial set of “seed” objects into a more complete set. One system that does set expansion is SEAL (Set Expander for Any Language), which e...
Richard C. Wang, William W. Cohen
135
Voted
FGR
2004
IEEE
132views Biometrics» more  FGR 2004»
15 years 7 months ago
Expand Training Set for Face Detection by GA Re-sampling
Data collection for both training and testing a classifier is a tedious but essential step towards face detection and recognition. All of the statistical methods suffer from this ...
Jie Chen, Xilin Chen, Wen Gao
133
Voted
BMCBI
2005
152views more  BMCBI 2005»
15 years 3 months ago
Ranking the whole MEDLINE database according to a large training set using text indexing
Background: The MEDLINE database contains over 12 million references to scientific literature, ut 3/4 of recent articles including an abstract of the publication. Retrieval of ent...
Brian P. Suomela, Miguel A. Andrade