19 search results - page 3 / 4 » Semi-Supervised Classification of Network Data Using Very Fe... |
KDD
2002
ACM
14 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...
DAWAK
2008
Springer
13 years 7 months ago
2008
Springer
Many text mining applications, especially when investigating Text Classification (TC), require experiments to be performed using common textcollections, such that results can be co...
KDD
2008
ACM
14 years 5 months ago
2008
ACM
Supervised classification methods have been shown to be very effective for a large number of applications. They require a training data set whose instances are labeled to indicate...
ICMCS
2010
IEEE
13 years 6 months ago
2010
IEEE
Labeling persons appearing in video frames with names detected from the video transcript helps improving the video content identification and search task. We develop a face naming...
CVPR
2006
IEEE
14 years 7 months ago
2006
IEEE
Classification with only one labeled example per class is a challenging problem in machine learning and pattern recognition. While there have been some attempts to address this pr...