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SIGIR
2010
ACM
14 years 1 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»
14 years 1 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»
14 years 1 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»
14 years 1 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
14 years 1 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