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SDM
2004
SIAM
225views Data Mining» more  SDM 2004»
15 years 3 months ago
Active Semi-Supervision for Pairwise Constrained Clustering
Semi-supervised clustering uses a small amount of supervised data to aid unsupervised learning. One typical approach specifies a limited number of must-link and cannotlink constra...
Sugato Basu, Arindam Banerjee, Raymond J. Mooney
ICALT
2006
IEEE
15 years 8 months ago
Trace Analysis in Instrumented Collaborative Learning Environments
Observation activity, on instrumented collective learning situations, enables participants to appropriate themselves corresponding systems in their own practice. In this paper, we...
Christophe Courtin, Stephane Talbot
SAINT
2005
IEEE
15 years 7 months ago
Inductive Logic Programming for Structure-Activity Relationship Studies on Large Scale Data
Inductive Logic Programming (ILP) is a combination of inductive learning and first-order logic aiming to learn first-order hypotheses from training examples. ILP has a serious b...
Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numa...
NIPS
2008
15 years 3 months ago
Multi-Level Active Prediction of Useful Image Annotations for Recognition
We introduce a framework for actively learning visual categories from a mixture of weakly and strongly labeled image examples. We propose to allow the categorylearner to strategic...
Sudheendra Vijayanarasimhan, Kristen Grauman
KDD
2012
ACM
281views Data Mining» more  KDD 2012»
13 years 4 months ago
Active spectral clustering via iterative uncertainty reduction
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...
Fabian L. Wauthier, Nebojsa Jojic, Michael I. Jord...