124 search results - page 16 / 25 » Learning from Positive and Unlabeled Examples with Different... |
103
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AAAI
2010
15 years 1 months ago
2010
Multi-label learning deals with data associated with multiple labels simultaneously. Previous work on multi-label learning assumes that for each instance, the "full" lab...
101
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SDM
2008
SIAM
15 years 1 months ago
2008
SIAM
Imbalanced class problems appear in many real applications of classification learning. We propose a novel sampling method to improve bagging for data sets with skewed class distri...
VIS
2008
IEEE
16 years 26 days ago
2008
IEEE
The visualization and exploration of multivariate data is still a challenging task. Methods either try to visualize all variables simultaneously at each position using glyph-based ...
ICASSP
2010
IEEE
14 years 11 months ago
2010
IEEE
In this paper, we propose a novel solution for multi-view object detection. Given a set of training examples at different views, we select examples at a few key views and train on...
108
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ICDM
2010
IEEE
14 years 9 months ago
2010
IEEE
We present a new approach to semi-supervised anomaly detection. Given a set of training examples believed to come from the same distribution or class, the task is to learn a model ...