140 search results - page 3 / 28 » Glycosylation site prediction using ensembles of Support Vec... |
BMCBI
2008
13 years 7 months ago
2008
KDD
2002
ACM
14 years 7 months ago
2002
ACM
Support vector machines (SVMs) excel at two-class discriminative learning problems. They often outperform generative classifiers, especially those that use inaccurate generative m...
JMLR
2008
13 years 7 months ago
2008
Ensemble learning algorithms such as boosting can achieve better performance by averaging over the predictions of some base hypotheses. Nevertheless, most existing algorithms are ...
ICANNGA
2007
Springer
14 years 1 months ago
2007
Springer
Currently the best algorithms for transcription factor binding site predictions are severely limited in accuracy. However, a non-linear combination of these algorithms could improv...
JMLR
2008
13 years 7 months ago
2008
Support vector machine (SVM) is one of the most popular and promising classification algorithms. After a classification rule is constructed via the SVM, it is essential to evaluat...