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DASFAA
2004
IEEE
135views Database» more  DASFAA 2004»
15 years 8 months ago
Semi-supervised Text Classification Using Partitioned EM
Text classification using a small labeled set and a large unlabeled data is seen as a promising technique to reduce the labor-intensive and time consuming effort of labeling traini...
Gao Cong, Wee Sun Lee, Haoran Wu, Bing Liu
IJSI
2008
156views more  IJSI 2008»
15 years 4 months ago
Co-Training by Committee: A Generalized Framework for Semi-Supervised Learning with Committees
Many data mining applications have a large amount of data but labeling data is often difficult, expensive, or time consuming, as it requires human experts for annotation. Semi-supe...
Mohamed Farouk Abdel Hady, Friedhelm Schwenker
PPOPP
2012
ACM
14 years 7 days ago
A speculation-friendly binary search tree
We introduce the first binary search tree algorithm designed for speculative executions. Prior to this work, tree structures were mainly designed for their pessimistic (non-specu...
Tyler Crain, Vincent Gramoli, Michel Raynal
PLDI
2006
ACM
15 years 10 months ago
Optimizing memory transactions
Atomic blocks allow programmers to delimit sections of code as ‘atomic’, leaving the language’s implementation to enforce atomicity. Existing work has shown how to implement...
Timothy L. Harris, Mark Plesko, Avraham Shinnar, D...
144
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BMCBI
2010
112views more  BMCBI 2010»
15 years 4 months ago
Orientation-dependent backbone-only residue pair scoring functions for fixed backbone protein design
Background: Empirical scoring functions have proven useful in protein structure modeling. Most such scoring functions depend on protein side chain conformations. However, backbone...
Andrew J. Bordner