543 search results - page 20 / 109 » A PAC-Style Model for Learning from Labeled and Unlabeled Da... |
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
We consider a setting for discriminative semisupervised learning where unlabeled data are used with a generative model to learn effective feature representations for discriminativ...
IJON
2010
13 years 6 months ago
2010
An active learner usually assumes there are some labeled data available based on which a moderate classifier is learned and then examines unlabeled data to manually label the mos...
ICMCS
2007
IEEE
14 years 2 months ago
2007
IEEE
We propose a discriminative learning approach for fusing multichannel sequential data with application to detect unsafe driving patterns from multi-channel driving recording data....
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...
KES
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. We present a possibly great improvement while performing semisupervised learning tasks from training data sets when only a small fraction of the data pairs is labeled. In...