88 search results - page 4 / 18 » The asymptotics of semi-supervised learning in discriminativ... |
PRL
2011
13 years 3 months ago
2011
: This paper addresses the inference of probabilistic classification models using weakly supervised learning. The main contribution of this work is the development of learning meth...
ICML
2001
IEEE
14 years 9 months ago
2001
IEEE
We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
We propose novel approaches for optimizing the detection performance in spoken language recognition. Two objective functions are designed to directly relate model parameters to tw...
ICPR
2006
IEEE
14 years 9 months ago
2006
IEEE
It is possible to broadly characterize two approaches to probabilistic modeling in terms of generative and discriminative methods. Provided with sufficient training data the discr...
TMI
2008
13 years 8 months ago
2008
In this paper, a hybrid discriminative/generative model for brain anatomical structure segmentation is proposed. The learning aspect of the approach is emphasized. In the discrimin...