566 search results - page 7 / 114 » A Bayesian Approach to Semi-Supervised Learning |
155
Voted
ICML
2003
IEEE
16 years 13 days 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...
117
Voted
TIT
2008
14 years 11 months ago
2008
We consider a framework for semi-supervised learning using spectral decomposition-based unsupervised kernel design. We relate this approach to previously proposed semi-supervised l...
114
Voted
ICMLA
2007
15 years 1 months ago
2007
We apply a new active learning formulation to the problem of learning medical concepts from unstructured text. The new formulation is based on maximizing the mutual information th...
115
Voted
ICDM
2009
IEEE
15 years 6 months ago
2009
IEEE
—Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...
81
Voted
ICPR
2006
IEEE
16 years 22 days 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...