200 search results - page 2 / 40 » Margin based Active Learning for LVQ Networks |
COLT
2007
Springer
13 years 12 months ago
2007
Springer
We present a framework for margin based active learning of linear separators. We instantiate it for a few important cases, some of which have been previously considered in the lite...
ACL
2008
13 years 7 months ago
2008
Active learning is a machine learning approach to achieving high-accuracy with a small amount of labels by letting the learning algorithm choose instances to be labeled. Most of p...
ECML
2006
Springer
13 years 9 months ago
2006
Springer
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
IJCNN
2007
IEEE
14 years 2 days ago
2007
IEEE
JMLR
2010
13 years 17 days ago
2010
In this paper we address the problem of predicting when the available data is incomplete. We show that changing the generally accepted table-wise view of the sample items into a g...