382 search results - page 31 / 77 » Multi-objective pattern and feature selection by a genetic a... |
137
Voted
BMCBI
2008
15 years 3 months ago
2008
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
163
Voted
KDD
2010
ACM
15 years 7 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
145
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CIKM
2011
Springer
14 years 3 months ago
2011
Springer
Traditional feature selection methods assume that the data are independent and identically distributed (i.i.d.). In real world, tremendous amounts of data are distributed in a net...
133
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IJIT
2004
15 years 5 months ago
2004
In this paper, we propose a morphing method by which face color images can be freely transformed. The main focus of this work is the transformation of one face image to another. Th...
133
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BMCBI
2008
15 years 3 months ago
2008
Background: In this paper, it is proposed an optimization approach for producing reduced alphabets for peptide classification, using a Genetic Algorithm. The classification task i...