354 search results - page 49 / 71 » Learning classifiers from only positive and unlabeled data |
AAAI
2011
12 years 7 months ago
2011
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
LREC
2008
13 years 9 months ago
2008
Automatic sentiment analysis in texts has attracted considerable attention in recent years. Most of the approaches developed to classify texts or sentences as positive or negative...
ICIP
2009
IEEE
14 years 8 months ago
2009
IEEE
Scale-space representation of an image is a significant way to generate features for classification. However, for a specific classification task, the entire scale-space may not be...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
We propose a competitive finite mixture of neurons (or perceptrons) for solving binary classification problems. Our classifier includes a prior for the weights between different n...
CLEF
2007
Springer
14 years 1 months ago
2007
Springer
This paper describes the participation of MIRACLE research consortium at the ImageCLEF Medical Image Annotation task of ImageCLEF 2007. Our areas of expertise do not include image...