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» Support Vector Training of Protein Alignment Models
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ICPR
2008
IEEE
14 years 8 months ago
Efficient background modeling through incremental Support Vector Data Description
Background modeling is an essential and important part of many high-level video processing applications. Recently, the Support Vector Data Description (SVDD) has been introduced f...
Alireza Tavakkoli, Mircea Nicolescu, George Bebis,...
BIBM
2009
IEEE
151views Bioinformatics» more  BIBM 2009»
14 years 2 months ago
Detection of Gene Orthology Based on Protein-Protein Interaction Networks
Abstract—Ortholog detection methods present a powerful approach for finding genes that participate in similar biological processes across different organisms, extending our unde...
Fadi Towfic, M. Heather West Greenlee, Vasant Hona...
BMCBI
2008
153views more  BMCBI 2008»
13 years 7 months ago
Improved general regression network for protein domain boundary prediction
Background: Protein domains present some of the most useful information that can be used to understand protein structure and functions. Recent research on protein domain boundary ...
Paul D. Yoo, Abdur R. Sikder, Bing Bing Zhou, Albe...
ICCS
2007
Springer
14 years 1 months ago
Active Learning with Support Vector Machines for Tornado Prediction
In this paper, active learning with support vector machines (SVMs) is applied to the problem of tornado prediction. This method is used to predict which storm-scale circulations yi...
Theodore B. Trafalis, Indra Adrianto, Michael B. R...
NAR
2006
89views more  NAR 2006»
13 years 7 months ago
AlgPred: prediction of allergenic proteins and mapping of IgE epitopes
In this study a systematic attempt has been made to integrate various approaches in order to predict allergenic proteins with high accuracy. The dataset used for testing and train...
Sudipto Saha, G. P. S. Raghava