1484 search results - page 29 / 297 » Semi-supervised Learning from General Unlabeled Data |
ICMI
2009
Springer
14 years 2 months ago
2009
Springer
In this paper, we investigate the multimodal nature of cell phone data in terms of discovering recurrent and rich patterns in people’s lives. We present a method that can discov...
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...
ENGL
2007
13 years 7 months ago
2007
—“A General Reflex Fuzzy Min-Max Neural Network” (GRFMN) is presented. GRFMN is capable to extract the underlying structure of the data by means of supervised, unsupervised a...
ML
2002
ACM
13 years 7 months ago
2002
ACM
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
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...