502 search results - page 13 / 101 » Learning from General Label Constraints |
JMLR
2012
12 years 8 days ago
2012
Reducing the number of labeled examples required to learn accurate prediction models is an important problem in structured output prediction. In this paper we propose a new transd...
ICDM
2009
IEEE
13 years 7 months ago
2009
IEEE
In this paper we study the problem of classifier learning where the input data contains unjustified dependencies between some data attributes and the class label. Such cases arise...
ICMLA
2007
13 years 11 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...
NIPS
2003
13 years 11 months ago
2003
Label ranking is the task of inferring a total order over a predefined set of labels for each given instance. We present a general framework for batch learning of label ranking f...
CVPR
2009
IEEE
15 years 5 months ago
2009
IEEE
We investigate the problem of automatically labelling
faces of characters in TV or movie material with their
names, using only weak supervision from automaticallyaligned
subtitl...