543 search results - page 13 / 109 » A PAC-Style Model for Learning from Labeled and Unlabeled Da... |
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...
SSPR
2004
Springer
14 years 1 months ago
2004
Springer
Most machine learning algorithms are designed either for supervised or for unsupervised learning, notably classification and clustering. Practical problems in bioinformatics and i...
ICDM
2003
IEEE
14 years 1 months ago
2003
IEEE
Automatic classification of documents is an important area of research with many applications in the fields of document searching, forensics and others. Methods to perform class...
JMLR
2010
13 years 2 months ago
2010
In this paper, we present an overview of generalized expectation criteria (GE), a simple, robust, scalable method for semi-supervised training using weakly-labeled data. GE fits m...
TAL
2010
Springer
13 years 5 months ago
2010
Springer
This paper shows how the best data-driven dependency parsers available today [1] can be improved by learning from unlabeled data. We focus on German and Swedish and show that label...