354 search results - page 12 / 71 » Learning classifiers from only positive and unlabeled data |
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
A learning problem that has only recently gained attention in the machine learning community is that of learning a classifier from group probabilities. It is a learning task that ...
COOPIS
2004
IEEE
13 years 11 months ago
2004
IEEE
Semantically heterogeneous and distributed data sources are quite common in several application domains such as bioinformatics and security informatics. In such a setting, each dat...
DAGM
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. A successful approach to tracking is to on-line learn discriminative classifiers for the target objects. Although these trackingby-detection approaches are usually fast a...
JMLR
2008
13 years 7 months ago
2008
Closed sets have been proven successful in the context of compacted data representation for association rule learning. However, their use is mainly descriptive, dealing only with ...
KDD
2003
ACM
14 years 7 months ago
2003
ACM
Classification is a well-established operation in text mining. Given a set of labels A and a set DA of training documents tagged with these labels, a classifier learns to assign l...