565 search results - page 86 / 113 » Incremental query evaluation for support vector machines |
153
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KDD
2002
ACM
16 years 5 months ago
2002
ACM
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
146
Voted
IJCNN
2006
IEEE
15 years 10 months ago
2006
IEEE
We propose a new semi-supervised model selection method that is derived by applying the structural risk minimization principle to a recent semi-supervised generalization error bou...
159
Voted
PADS
2006
ACM
15 years 10 months ago
2006
ACM
A master/worker paradigm for executing large-scale parallel discrete event simulation programs over networkenabled computational resources is proposed and evaluated. In contrast t...
157
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AUSAI
2008
Springer
15 years 6 months ago
2008
Springer
Classifiers are traditionally learned using sets of positive and negative training examples. However, often a classifier is required, but for training only an incomplete set of pos...
136
Voted
DATAMINE
2006
15 years 4 months ago
2006
Clustering with partial supervision finds its application in situations where data is neither entirely nor accurately labeled. This paper discusses a semisupervised clustering algo...