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107
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DAGM
2004
Springer
15 years 6 months ago
Learning from Labeled and Unlabeled Data Using Random Walks
We consider the general problem of learning from labeled and unlabeled data. Given a set of points, some of them are labeled, and the remaining points are unlabeled. The goal is to...
Dengyong Zhou, Bernhard Schölkopf
120
Voted
ECLIPSE
2007
ACM
15 years 4 months ago
Predicting buggy changes inside an integrated development environment
We present a tool that predicts whether the software under development inside an IDE has a bug. An IDE plugin performs this prediction, using the Change Classification technique t...
Janaki T. Madhavan, E. James Whitehead Jr.
103
Voted
BMCBI
2008
185views more  BMCBI 2008»
15 years 25 days ago
Mining clinical relationships from patient narratives
Background: The Clinical E-Science Framework (CLEF) project has built a system to extract clinically significant information from the textual component of medical records in order...
Angus Roberts, Robert J. Gaizauskas, Mark Hepple, ...
86
Voted
ICPR
2010
IEEE
15 years 5 months ago
Lattice-Based Anomaly Rectification for Sport Video Annotation
Anomaly detection has received much attention within the literature as a means of determining, in an unsupervised manner, whether a learning domain has changed in a fundamental way...
Aftab Khan, David Windridge, Teofilo De Campos
91
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ICML
2008
IEEE
16 years 1 months ago
Listwise approach to learning to rank: theory and algorithm
This paper aims to conduct a study on the listwise approach to learning to rank. The listwise approach learns a ranking function by taking individual lists as instances and minimi...
Fen Xia, Tie-Yan Liu, Jue Wang, Wensheng Zhang, Ha...