220 search results - page 29 / 44 » Learning to Classify Text from Labeled and Unlabeled Documen... |
AIM
2005
14 years 9 months ago
2005
Intelligent access to information requires semantic integration of structured databases with unstructured textual resources. While the semantic integration problem has been widely...
89
Voted
ADCS
2004
14 years 11 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, ...
140
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ICML
2003
IEEE
15 years 10 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...
SDM
2008
SIAM
14 years 11 months ago
2008
SIAM
Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...
81
Voted
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
We introduce a novel active learning algorithm for classification of network data. In this setting, training instances are connected by a set of links to form a network, the label...