4930 search results - page 16 / 986 » Learning minimal abstractions |
119
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ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
We propose a kernelized maximal-figure-of-merit (MFoM) learning approach to efficiently training a nonlinear model using subspace distance minimization. In particular, a fixed,...
CVPR
2010
IEEE
15 years 5 months ago
2010
IEEE
This paper proposes a new learning method, which integrates feature selection with classifier construction for human detection via solving three optimization models. Firstly, the ...
93
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PAKDD
2004
ACM
15 years 5 months ago
2004
ACM
The use of unlabeled data to aid classification is important as labeled data is often available in limited quantity. Instead of utilizing training samples directly into semi-super...
ICDM
2008
IEEE
15 years 6 months ago
2008
IEEE
Selecting promising queries is the key to effective active learning. In this paper, we investigate selection techniques for the task of learning an equivalence relation where the ...
125
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KDD
2009
ACM
16 years 28 days ago
2009
ACM
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...