56 search results - page 1 / 12 » Improving SVM accuracy by training on auxiliary data sources |
ICML
2004
IEEE
14 years 11 months ago
2004
IEEE
The standard model of supervised learning assumes that training and test data are drawn from the same underlying distribution. This paper explores an application in which a second...
JMLR
2010
13 years 5 months ago
2010
Kernel techniques have long been used in SVM to handle linearly inseparable problems by transforming data to a high dimensional space, but training and testing large data sets is ...
KDD
2009
ACM
14 years 11 months ago
2009
ACM
Classification is a core task in knowledge discovery and data mining, and there has been substantial research effort in developing sophisticated classification models. In a parall...
ICPR
2008
IEEE
14 years 5 months ago
2008
IEEE
This paper presents a new algorithm named Kernel Bisecting k-means and Sample Removal (KBK-SR) as a sampling preprocessing for SVM training to improve the scalability. The novel c...
BMCBI
2007
13 years 11 months ago
2007
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...