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» A selective sampling approach to active feature selection
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KDD
2003
ACM
109views Data Mining» more  KDD 2003»
16 years 2 months ago
Experimental design for solicitation campaigns
Data mining techniques are routinely used by fundraisers to select those prospects from a large pool of candidates who are most likely to make a financial contribution. These tech...
Uwe F. Mayer, Armand Sarkissian
ICCV
2005
IEEE
16 years 3 months ago
A Supervised Learning Framework for Generic Object Detection in Images
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
Saad Ali, Mubarak Shah
SIGIR
2006
ACM
15 years 7 months ago
Capturing collection size for distributed non-cooperative retrieval
Modern distributed information retrieval techniques require accurate knowledge of collection size. In non-cooperative environments, where detailed collection statistics are not av...
Milad Shokouhi, Justin Zobel, Falk Scholer, Seyed ...
INFOCOM
2009
IEEE
15 years 8 months ago
On the Effectiveness of Measurement Reuse for Performance-Based Detouring
— For both technological and economic reasons, the default path between two end systems in the wide-area Internet can be suboptimal. This observation has motivated a number of sy...
David R. Choffnes, Fabian E. Bustamante
137
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IALP
2010
14 years 8 months ago
Sentence Similarity-Based Source Context Modelling in PBSMT
Target phrase selection, a crucial component of the state-of-the-art phrase-based statistical machine translation (PBSMT) model, plays a key role in generating accurate translation...
Rejwanul Haque, Sudip Kumar Naskar, Andy Way, Mart...