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» Learning classifiers from only positive and unlabeled data
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WPES
2004
ACM
13 years 10 months ago
Private collaborative forecasting and benchmarking
Suppose a number of hospitals in a geographic area want to learn how their own heart-surgery unit is doing compared with the others in terms of mortality rates, subsequent complic...
Mikhail J. Atallah, Marina Bykova, Jiangtao Li, Ke...
ESWA
2008
140views more  ESWA 2008»
13 years 4 months ago
Web taxonomy integration with hierarchical shrinkage algorithm and fine-grained relations
We address the problem of integrating web taxonomies from different real Internet applications. Integrating web taxonomies is to transfer instances from a source to target taxonom...
Chia-Wei Wu, Richard Tzong-Han Tsai, Cheng-Wei Lee...
ICCV
2007
IEEE
14 years 6 months ago
Gradient Feature Selection for Online Boosting
Boosting has been widely applied in computer vision, especially after Viola and Jones's seminal work [23]. The marriage of rectangular features and integral-imageenabled fast...
Ting Yu, Xiaoming Liu 0002
DAGSTUHL
1996
13 years 5 months ago
What Not to Do When Writing an Interpreter for Specialisation
A partial evaluator, given a program and a known "static" part of its input data, outputs a specialised or residual program in which computations depending only on the st...
Neil D. Jones