1484 search results - page 276 / 297 » Semi-supervised Learning from General Unlabeled Data |
120
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BMCBI
2008
15 years 1 months ago
2008
Background: False discovery rate (FDR) methods play an important role in analyzing highdimensional data. There are two types of FDR, tail area-based FDR and local FDR, as well as ...
135
Voted
BMCBI
2008
15 years 1 months ago
2008
Background: Prediction of transmembrane (TM) helices by statistical methods suffers from lack of sufficient training data. Current best methods use hundreds or even thousands of f...
118
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KDD
2007
ACM
16 years 2 months ago
2007
ACM
The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
138
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WWW
2003
ACM
16 years 2 months ago
2003
ACM
This paper describes a novel approach for obtaining semantic interoperability among data sources in a bottom-up, semiautomatic manner without relying on pre-existing, global seman...
110
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KDD
2005
ACM
15 years 7 months ago
2005
ACM
A lift curve, with the true positive rate on the y-axis and the customer pull (or contact) rate on the x-axis, is often used to depict the model performance in many data mining ap...