178 search results - page 9 / 36 » Learning cost-sensitive active classifiers |
IIR
2010
13 years 8 months ago
2010
Given a classifier trained on relatively few training examples, active learning (AL) consists in ranking a set of unlabeled examples in terms of how informative they would be, if ...
IJCAI
2001
13 years 8 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...
DATAMINE
2008
13 years 7 months ago
2008
Learning from imbalanced datasets presents a convoluted problem both from the modeling and cost standpoints. In particular, when a class is of great interest but occurs relatively...
PAKDD
2011
ACM
12 years 10 months ago
2011
ACM
Discovering rare categories and classifying new instances of them is an important data mining issue in many fields, but fully supervised learning of a rare class classifier is pr...
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...