93 search results - page 1 / 19 » Semi-Supervised Text Classification Using Positive and Unlab... |
AMT
2006
Springer
13 years 8 months ago
2006
Springer
Text classification using positive and unlabeled data refers to the problem of building text classifier using positive documents (P) of one class and unlabeled documents (U) of man...
EMNLP
2010
13 years 2 months ago
2010
In this paper, we introduce a method that automatically builds text classifiers in a new language by training on already labeled data in another language. Our method transfers the...
FLAIRS
2007
13 years 6 months ago
2007
Traditional supervised classification algorithms require a large number of labelled examples to perform accurately. Semi-supervised classification algorithms attempt to overcome t...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
FLAIRS
2004
13 years 6 months ago
2004
Using unlabeled data to help supervised learning has become an increasingly attractive methodology and proven to be effective in many applications. This paper applies semi-supervi...