502 search results - page 6 / 101 » Learning from General Label Constraints |
COLT
2010
Springer
13 years 5 months ago
2010
Springer
We present a new online learning algorithm in the selective sampling framework, where labels must be actively queried before they are revealed. We prove bounds on the regret of ou...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
Within a computer vision context color naming is the action of assigning linguistic color labels to image pixels. In general, research on color naming applies the following paradi...
ICDM
2008
IEEE
14 years 1 months ago
2008
IEEE
We consider the problem of Semi-supervised Learning (SSL) from general unlabeled data, which may contain irrelevant samples. Within the binary setting, our model manages to better...
ICDM
2009
IEEE
14 years 2 months ago
2009
IEEE
—Active learning can actively select or construct examples to label to reduce the number of labeled examples needed for building accurate classifiers. However, previous works of...
EMNLP
2009
13 years 5 months ago
2009
Methods that learn from prior information about input features such as generalized expectation (GE) have been used to train accurate models with very little effort. In this paper,...