15 search results - page 2 / 3 » Adaptive Submodularity: A New Approach to Active Learning an... |
PAKDD
2011
ACM
12 years 8 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...
CORR
2008
Springer
13 years 5 months ago
2008
Springer
This paper proposes a method to construct an adaptive agent that is universal with respect to a given class of experts, where each expert is designed specifically for a particular...
CVPR
2001
IEEE
14 years 7 months ago
2001
IEEE
Learning-enhanced relevance feedback is one of the most promising and active research directions in recent year's content-based image retrieval. However, the existing approac...
RSS
2007
13 years 6 months ago
2007
— Several recent algorithms have formulated the SLAM problem in terms of non-linear pose graph optimization. These algorithms are attractive because they offer lower computationa...
GECCO
2009
Springer
13 years 9 months ago
2009
Springer
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...