1389 search results - page 43 / 278 » Active learning using pre-clustering |
NIPS
2007
13 years 10 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 - ...
SIGIR
2012
ACM
11 years 11 months ago
2012
ACM
Methods that reduce the amount of labeled data needed for training have focused more on selecting which documents to label than on which queries should be labeled. One exception t...
ALT
2009
Springer
14 years 5 months ago
2009
Springer
Abstract. We analyze the expected cost of a greedy active learning algorithm. Our analysis extends previous work to a more general setting in which different queries have differe...
ACCV
2010
Springer
13 years 5 months ago
2010
Springer
We present a new active learning approach to incorporate
human feedback for on-line unusual event detection. In contrast to most
existing unsupervised methods that perform passiv...
ECTEL
2006
Springer
14 years 16 days ago
2006
Springer
We propose a mediator architecture that allows a learning system to retrieve learning objects from heterogeneous repositories. A mediating component accepts queries formulated in a...