151 search results - page 6 / 31 » Learning on the border: active learning in imbalanced data c... |
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
We compare the practical performance of several recently proposed algorithms for active learning in the online classification setting. We consider two active learning algorithms (...
KDD
2007
ACM
14 years 8 months ago
2007
ACM
Given its importance, the problem of predicting rare classes in large-scale multi-labeled data sets has attracted great attentions in the literature. However, the rare-class probl...
IJCAI
2001
13 years 9 months ago
2001
For many supervised learning tasks it is very costly to produce training data with class labels. Active learning acquires data incrementally, at each stage using the model learned...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
We introduce a novel active learning algorithm for classification of network data. In this setting, training instances are connected by a set of links to form a network, the label...
Publication
One of the principal bottlenecks in applying learning techniques to classification problems is the large amount of labeled training data required. Especially for images and video, ...