1484 search results - page 40 / 297 » Semi-supervised Learning from General Unlabeled Data |
COLT
2005
Springer
14 years 1 months ago
2005
Springer
We present a new generalization bound where the use of unlabeled examples results in a better ratio between training-set size and the resulting classifier’s quality and thus red...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
The general approach for automatically driving data collection using information from previously acquired data is called active learning. Traditional active learning addresses the...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
We consider the problem of online learning in a changing environment under sparse user feedback. Specifically, we address the classification of music types according to a user...
JMLR
2012
11 years 10 months 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...
NAACL
2010
13 years 5 months ago
2010
Extraction of entities from ad creatives is an important problem that can benefit many computational advertising tasks. Supervised and semi-supervised solutions rely on labeled da...