2031 search results - page 100 / 407 » Oblique Support Vector Machines |
ICML
2000
IEEE
14 years 9 months ago
2000
IEEE
We study the problem of learning using combinations of machines. In particular we present new theoretical bounds on the generalization performance of voting ensembles of kernel ma...
MICCAI
2006
Springer
14 years 9 months ago
2006
Springer
Abstract. The support vector domain description is a one-class classification method that estimates the shape and extent of the distribution of a data set. This separates the data ...
ICML
2004
IEEE
14 years 9 months ago
2004
IEEE
Multi-view algorithms, such as co-training and co-EM, utilize unlabeled data when the available attributes can be split into independent and compatible subsets. Co-EM outperforms ...
TNN
2010
13 years 3 months ago
2010
Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
— Support Vector Machine has been well received in machine learning community with its theoretical as well as practical value. However, since its training time complexity is cubi...