124 search results - page 16 / 25 » Learning from Positive and Unlabeled Examples with Different... |
AAAI
2010
13 years 8 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...
SDM
2008
SIAM
13 years 8 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
14 years 8 months 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
13 years 7 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...
ICDM
2010
IEEE
13 years 5 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 ...