286 search results - page 13 / 58 » Learning to Classify Texts Using Positive and Unlabeled Data |
ICML
2003
IEEE
14 years 9 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...
AUSDM
2006
Springer
14 years 15 days ago
2006
Springer
Supervised text classification is the task of automatically assigning a category label to a previously unlabeled text document. We start with a collection of pre-labeled examples ...
SIGIR
2010
ACM
13 years 9 months ago
2010
ACM
In recent years, active learning methods based on experimental design achieve state-of-the-art performance in text classification applications. Although these methods can exploit ...
ICONIP
2009
13 years 6 months ago
2009
In contrast to traditional machine learning algorithms, where all data are available in batch mode, the new paradigm of streaming data poses additional difficulties, since data sam...
ICPR
2002
IEEE
14 years 9 months ago
2002
IEEE
Learning Bayesian Belief Networks (BBN) from corpora and incorporating the extracted inferring knowledge with a Support Vector Machines (SVM) classifier has been applied to charac...