527 search results - page 11 / 106 » Supervised Hypergraph Labeling |
ICML
2009
IEEE
14 years 2 months ago
2009
IEEE
We describe a probabilistic approach for supervised learning when we have multiple experts/annotators providing (possibly noisy) labels but no absolute gold standard. The proposed...
IBPRIA
2005
Springer
14 years 1 months ago
2005
Springer
The process of mixing labelled and unlabelled data is being recently studied in semi-supervision techniques. However, this is not the only scenario in which mixture of labelled and...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
In this paper, we address the scalability issue plaguing graph-based semi-supervised learning via a small number of anchor points which adequately cover the entire point cloud. Cr...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
Dual supervision refers to the general setting of learning from both labeled examples as well as labeled features. Labeled features are naturally available in tasks such as text c...
ACL
2008
13 years 9 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...