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» Improving the Accuracy and Speed of Support Vector Machines
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BMCBI
2007
139views more  BMCBI 2007»
13 years 5 months ago
Improving model predictions for RNA interference activities that use support vector machine regression by combining and filterin
Background: RNA interference (RNAi) is a naturally occurring phenomenon that results in the suppression of a target RNA sequence utilizing a variety of possible methods and pathwa...
Andrew S. Peek
NECO
2008
112views more  NECO 2008»
13 years 5 months ago
Second-Order SMO Improves SVM Online and Active Learning
Iterative learning algorithms that approximate the solution of support vector machines (SVMs) have two potential advantages. First, they allow for online and active learning. Seco...
Tobias Glasmachers, Christian Igel
AIRS
2005
Springer
13 years 11 months ago
An Iterative Approach for Web Catalog Integration with Support Vector Machines
Abstract. Web catalog integration is an emerging problem in current digital content management. Past studies show that more improvement on integration accuracy can be achieved with...
Ing-Xiang Chen, Jui-Chi Ho, Cheng-Zen Yang
ANNPR
2006
Springer
13 years 9 months ago
Fast Training of Linear Programming Support Vector Machines Using Decomposition Techniques
Abstract. Decomposition techniques are used to speed up training support vector machines but for linear programming support vector machines (LP-SVMs) direct implementation of decom...
Yusuke Torii, Shigeo Abe
SNPD
2004
13 years 7 months ago
Using extended phylogenetc profiles and support vector machines for protein family classification
We proposed a new approach to compare profiles when the correlations among attributes can be represented as a tree. To account for these correlations, the profile is extended with...
Kishore Narra, Li Liao