304 search results - page 51 / 61 » Soft-Supervised Learning for Text Classification |
ADCS
2004
13 years 9 months ago
2004
Co-training is a semi-supervised technique that allows classifiers to learn with fewer labelled documents by taking advantage of the more abundant unclassified documents. However, ...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
: ? Feature Shaping for Linear SVM Classifiers George Forman, Martin Scholz, Shyamsundar Rajaram HP Laboratories HPL-2009-31R1 text classification machine learning, feature weighti...
AAAI
2008
13 years 10 months ago
2008
Transfer learning addresses the problem of how to utilize plenty of labeled data in a source domain to solve related but different problems in a target domain, even when the train...
IJCAI
2007
13 years 9 months ago
2007
Traditional classification involves building a classifier using labeled training examples from a set of predefined classes and then applying the classifier to classify test instan...
CVPR
2009
IEEE
13 years 11 months ago
2009
IEEE
We investigate the problem of automatically labelling faces of characters in TV or movie material with their names, using only weak supervision from automaticallyaligned subtitle ...