119 search results - page 8 / 24 » Pruning Training Samples Using a Supervised Clustering Algor... |
NIPS
2004
13 years 8 months ago
2004
A graph-based prior is proposed for parametric semi-supervised classification. The prior utilizes both labelled and unlabelled data; it also integrates features from multiple view...
KDD
2002
ACM
14 years 7 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...
CHI
2004
ACM
14 years 7 months ago
2004
ACM
Ubiquitous, context-aware computer systems may ultimately enable computer applications that naturally and usefully respond to a user's everyday activity. Although new algorit...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
Many semi-supervised learning algorithms only
deal with binary classification. Their extension to the
multi-class problem is usually obtained by repeatedly
solving a set of bina...
ICDM
2003
IEEE
14 years 19 days ago
2003
IEEE
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...