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» Predicting Nucleolar Proteins Using Support-Vector Machines
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PKDD
2009
Springer
88views Data Mining» more  PKDD 2009»
15 years 10 months ago
Feature Weighting Using Margin and Radius Based Error Bound Optimization in SVMs
The Support Vector Machine error bound is a function of the margin and radius. Standard SVM algorithms maximize the margin within a given feature space, therefore the radius is fi...
Huyen Do, Alexandros Kalousis, Melanie Hilario
167
Voted
BIBM
2009
IEEE
151views Bioinformatics» more  BIBM 2009»
15 years 10 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...
134
Voted
BMCBI
2010
120views more  BMCBI 2010»
15 years 3 months ago
AntiBP2: improved version of antibacterial peptide prediction
Background: Antibacterial peptides are one of the effecter molecules of innate immune system. Over the last few decades several antibacterial peptides have successfully approved a...
Sneh Lata, Nitish K. Mishra, Gajendra P. S. Raghav...
154
Voted
JMLR
2010
185views more  JMLR 2010»
14 years 10 months ago
Multiple Kernel Learning on the Limit Order Book
Simple features constructed from order book data for the EURUSD currency pair were used to construct a set of kernels. These kernels were used both individually and simultaneously...
Tristan Fletcher, Zakria Hussain, John Shawe-Taylo...
BMCBI
2008
141views more  BMCBI 2008»
15 years 3 months ago
Functional discrimination of membrane proteins using machine learning techniques
Background: Discriminating membrane proteins based on their functions is an important task in genome annotation. In this work, we have analyzed the characteristic features of amin...
M. Michael Gromiha, Yukimitsu Yabuki