32 search results - page 2 / 7 » Semi-supervised Text Classification Using Partitioned EM |
NIPS
2004
13 years 6 months ago
2004
A graph-based prior is proposed for parametric semi-supervised classification. The prior utilizes both labelled and unlabelled data; it also integrates features from multiple view...
EMNLP
2009
13 years 2 months ago
2009
This paper presents a new approach to selecting the initial seed set using stratified sampling strategy in bootstrapping-based semi-supervised learning for semantic relation class...
FLAIRS
2007
13 years 7 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...
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
Semi-supervised learning has emerged as a popular framework for improving modeling accuracy while controlling labeling cost. Based on an extension of stochastic composite likeliho...