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» Active learning using pre-clustering
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CEAS
2007
Springer
14 years 24 days ago
Online Active Learning Methods for Fast Label-Efficient Spam Filtering
Active learning methods seek to reduce the number of labeled examples needed to train an effective classifier, and have natural appeal in spam filtering applications where trustwo...
D. Sculley
SIGIR
2008
ACM
13 years 8 months ago
Personalized active learning for collaborative filtering
Collaborative Filtering (CF) requires user-rated training examples for statistical inference about the preferences of new users. Active learning strategies identify the most infor...
Abhay Harpale, Yiming Yang
ICDM
2010
IEEE
128views Data Mining» more  ICDM 2010»
13 years 6 months ago
User-Based Active Learning
Active learning has been proven a reliable strategy to reduce manual efforts in training data labeling. Such strategies incorporate the user as oracle: the classifier selects the m...
Christin Seifert, Michael Granitzer
IJCV
2011
264views more  IJCV 2011»
13 years 3 months ago
Cost-Sensitive Active Visual Category Learning
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
Sudheendra Vijayanarasimhan, Kristen Grauman
ICALT
2005
IEEE
14 years 2 months ago
Modeling of Process-Oriented Learning Designs
Process-oriented learning designs (POLD) are used to describe innovative teaching activities (processes) that can be generalised and used across different disciplines. This paper ...
Olivera Marjanovic