794 search results - page 4 / 159 » Optimization Techniques for Semi-Supervised Support Vector M... |
ICML
2004
IEEE
15 years 10 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 ...
PVM
2005
Springer
15 years 3 months ago
2005
Springer
We consider a parallel decomposition technique for solving the large quadratic programs arising in training the learning methodology Support Vector Machine. At each iteration of th...
FLAIRS
2003
14 years 11 months ago
2003
Support vector machines (SVMs) are regularly used for classification of unbalanced data by weighting more heavily the error contribution from the rare class. This heuristic techn...
ICPR
2008
IEEE
15 years 4 months ago
2008
IEEE
OneClassMaxMinOver (OMMO) is a simple incremental algorithm for one-class support vector classification. We propose several enhancements and heuristics for improving model select...
64
Voted
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
—Support Vector Machines are used to combine the outputs of multiple entity extractors, thus creating a composite entity extraction system. The composite system has a significant...