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» Messy Genetic Algorithms for Subset Feature Selection
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ICDM
2005
IEEE
139views Data Mining» more  ICDM 2005»
14 years 2 months ago
Stability of Feature Selection Algorithms
With the proliferation of extremely high-dimensional data, feature selection algorithms have become indispensable components of the learning process. Strangely, despite extensive ...
Alexandros Kalousis, Julien Prados, Melanie Hilari...
JCP
2008
114views more  JCP 2008»
13 years 7 months ago
A Novel Feature Selection Algorithm Based on Hypothesis-Margin
Iterative search margin based algorithm(Simba) has been proven effective for feature selection. However, it still has the following disadvantages: (1) the previously proposed model...
Ming Yang, Fei Wang, Ping Yang
ASC
2007
13 years 8 months ago
Evolving an artificial neural network classifier for condition monitoring of rotating mechanical systems
We present the results of our investigation into the use of Genetic Algorithms (GAs) for identifying near optimal design parameters of diagnostic systems that are based on Artifici...
Abhinav Saxena, Ashraf Saad
BMCBI
2010
108views more  BMCBI 2010»
13 years 8 months ago
A genetic ensemble approach for gene-gene interaction identification
Background: It has now become clear that gene-gene interactions and gene-environment interactions are ubiquitous and fundamental mechanisms for the development of complex diseases...
Pengyi Yang, Joshua W. K. Ho, Albert Y. Zomaya, Bi...
CSIE
2009
IEEE
14 years 3 months ago
Evaluating Clustering Algorithms: Cluster Quality and Feature Selection in Content-Based Image Clustering
The paper presents an evaluation of four clustering algorithms: k-means, average linkage, complete linkage, and Ward’s method, with the latter three being different hierarchical...
Mesfin Sileshi, Björn Gambäck