319 search results - page 3 / 64 » Two-view feature generation model for semi-supervised learni... |
ACL
2008
13 years 7 months ago
2008
This paper presents a semi-supervised training method for linear-chain conditional random fields that makes use of labeled features rather than labeled instances. This is accompli...
ACL
2009
13 years 3 months ago
2009
We present a graph-based semi-supervised learning for the question-answering (QA) task for ranking candidate sentences. Using textual entailment analysis, we obtain entailment sco...
ICPR
2006
IEEE
14 years 6 months ago
2006
IEEE
Current semi-supervised incremental learning approaches select unlabeled examples with predicted high confidence for model re-training. We show that for many applications this dat...
ICML
2003
IEEE
14 years 6 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...
COLT
2008
Springer
13 years 7 months ago
2008
Springer
We study the potential benefits to classification prediction that arise from having access to unlabeled samples. We compare learning in the semi-supervised model to the standard, ...