354 search results - page 41 / 71 » Top-k learning to rank: labeling, ranking and evaluation |
100
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CVPR
2006
IEEE
15 years 11 months ago
2006
IEEE
We consider the general problem of learning from both labeled and unlabeled data. Given a set of data points, only a few of them are labeled, and the remaining points are unlabele...
CVPR
2009
IEEE
15 years 4 months ago
2009
IEEE
Most research on image decomposition, e.g. image segmentation and image parsing, has predominantly focused on the low-level visual clues within single image and neglected the cont...
ECML
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. The area under the ROC curve (AUC) has been widely used to measure ranking performance for binary classification tasks. AUC only employs the classifier’s scores to ra...
117
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GROUP
2010
ACM
14 years 7 months ago
2010
ACM
Looking for source code on the Web is a common practice among software developers. Previous research has shown that developers use social cues over technical cues to evaluate sour...
102
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AUSAI
2008
Springer
14 years 11 months ago
2008
Springer
Classifiers are traditionally learned using sets of positive and negative training examples. However, often a classifier is required, but for training only an incomplete set of pos...