52 search results - page 1 / 11 » Nearest-Neighbor-Based Active Learning for Rare Category Det... |
76
Voted
NIPS
2007
15 years 9 days 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
15 years 8 days 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...
190
Voted
PAKDD
2011
ACM
14 years 4 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
14 years 1 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...
91
Voted
KDD
2009
ACM
15 years 5 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...