152 search results - page 7 / 31 » Multi-Class SVM for Large Data Sets Considering Models of Cl... |
SDM
2010
SIAM
13 years 9 months ago
2010
SIAM
Lack of labeled training examples is a common problem for many applications. In the same time, there is usually an abundance of labeled data from related tasks. But they have diff...
NEUROSCIENCE
2001
Springer
14 years 1 days ago
2001
Springer
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Consider a typical recommendation problem. A company has historical records of products sold to a large customer base. These records may be compactly represented as a sparse custom...
ISBI
2004
IEEE
14 years 8 months ago
2004
IEEE
Point Distribution Modelling (PDM) is an efficient generative technique that can be used to incorporate statistical shape priors into image analysis methods like Active Shape Mode...
COLT
2008
Springer
13 years 9 months ago
2008
Springer
We study the potential benefits to classification prediction that arise from having access to unlabeled samples. We compare learning in the semi-supervised model to the standard, ...