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SIGIR
2010
ACM
13 years 11 months ago
Positional relevance model for pseudo-relevance feedback
Pseudo-relevance feedback is an effective technique for improving retrieval results. Traditional feedback algorithms use a whole feedback document as a unit to extract words for ...
Yuanhua Lv, ChengXiang Zhai
ATVA
2006
Springer
102views Hardware» more  ATVA 2006»
13 years 11 months ago
A Semantic Framework for Test Coverage
Abstract. Since testing is inherently incomplete, test selection is of vital importance. Coverage measures evaluate the quality of a test suite and help the tester select test case...
Laura Brandán Briones, Ed Brinksma, Mari&eu...
DASFAA
2004
IEEE
135views Database» more  DASFAA 2004»
13 years 11 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
FGR
2004
IEEE
132views Biometrics» more  FGR 2004»
13 years 11 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
FASE
2006
Springer
13 years 11 months ago
: Designing a Scalable Build Process
Modern software codebases are frequently large, heterogeneous, and constantly evolving. The languages and tools for software construction, including code builds and configuration m...
Jason Hickey, Aleksey Nogin