56 search results - page 4 / 12 » Improving SVM accuracy by training on auxiliary data sources |
ICML
2004
IEEE
14 years 9 months ago
2004
IEEE
The goal of feature induction is to automatically create nonlinear combinations of existing features as additional input features to improve classification accuracy. Typically, no...
BMCBI
2008
13 years 8 months ago
2008
Background: The prediction of protein-protein binding site can provide structural annotation to the protein interaction data from proteomics studies. This is very important for th...
BMCBI
2004
13 years 8 months ago
2004
Background: This paper presents the use of Support Vector Machines (SVMs) for prediction and analysis of antisense oligonucleotide (AO) efficacy. The collected database comprises ...
SDM
2010
SIAM
13 years 10 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...
EMNLP
2006
13 years 10 months ago
2006
Discriminative learning methods are widely used in natural language processing. These methods work best when their training and test data are drawn from the same distribution. For...