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» An ICA algorithm for analyzing multiple data sets
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BMCBI
2008
119views more  BMCBI 2008»
13 years 9 months ago
A new method for 2D gel spot alignment: application to the analysis of large sample sets in clinical proteomics
Background: In current comparative proteomics studies, the large number of images generated by 2D gels is currently compared using spot matching algorithms. Unfortunately, differe...
Sabine Pérès, Laurence Molina, Nicol...
CVPR
2010
IEEE
13 years 9 months ago
Boosting for transfer learning with multiple sources
Transfer learning allows leveraging the knowledge of source domains, available a priori, to help training a classifier for a target domain, where the available data is scarce. Th...
Yi Yao, Gianfranco Doretto
GECCO
2003
Springer
160views Optimization» more  GECCO 2003»
14 years 2 months ago
Using Genetic Algorithms for Data Mining Optimization in an Educational Web-Based System
This paper presents an approach for classifying students in order to predict their final grade based on features extracted from logged data in an education web-based system. A comb...
Behrouz Minaei-Bidgoli, William F. Punch
BMCBI
2010
198views more  BMCBI 2010»
13 years 9 months ago
ClustalXeed: a GUI-based grid computation version for high performance and terabyte size multiple sequence alignment
Background: There is an increasing demand to assemble and align large-scale biological sequence data sets. The commonly used multiple sequence alignment programs are still limited...
Taeho Kim, Hyun Joo
COCOA
2009
Springer
14 years 1 months ago
Positive Influence Dominating Set in Online Social Networks
Online social network has developed significantly in recent years as a medium of communicating, sharing and disseminating information and spreading influence. Most of current resea...
Feng Wang 0002, Erika Camacho, Kuai Xu