52 search results - page 1 / 11 » Nearest-Neighbor-Based Active Learning for Rare Category Det... |
NIPS
2007
13 years 6 months ago
2007
Rare category detection is an open challenge for active learning, especially in the de-novo case (no labeled examples), but of significant practical importance for data mining - ...
NIPS
2004
13 years 6 months ago
2004
We introduce a novel active-learning scenario in which a user wants to work with a learning algorithm to identify useful anomalies. These are distinguished from the traditional st...
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...
PAKDD
2011
ACM
12 years 7 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...
KDD
2009
ACM
13 years 11 months ago
2009
ACM
Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to iden...