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IJON
2006
146views more  IJON 2006»
13 years 8 months ago
Feature selection and classification using flexible neural tree
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
Yuehui Chen, Ajith Abraham, Bo Yang
ICIAP
2003
ACM
14 years 8 months ago
Classification method for colored natural textures using Gabor filtering
In texture analysis the common methods are based on the gray levels of the texture image. However, the use of color information improves the classification accuracy of the colored...
Leena Lepistö, Iivari Kunttu, Jorma Autio, Ar...
BMCBI
2010
121views more  BMCBI 2010»
13 years 3 months ago
G-stack modulated probe intensities on expression arrays - sequence corrections and signal calibration
Background: The brightness of the probe spots on expression microarrays intends to measure the abundance of specific mRNA targets. Probes with runs of at least three guanines (G) ...
Mario Fasold, Peter F. Stadler, Hans Binder
MCS
2007
Springer
14 years 2 months ago
Random Feature Subset Selection for Ensemble Based Classification of Data with Missing Features
Abstract. We report on our recent progress in developing an ensemble of classifiers based algorithm for addressing the missing feature problem. Inspired in part by the random subsp...
Joseph DePasquale, Robi Polikar
BMCBI
2010
110views more  BMCBI 2010»
13 years 7 months ago
Improvements to previous algorithms to predict gene structure and isoform concentrations using Affymetrix Exon arrays
Background: Exon arrays provide a way to measure the expression of different isoforms of genes in an organism. Most of the procedures to deal with these arrays are focused on gene...
Miguel A. Anton, Ander Aramburu, Angel Rubio