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» An ICA algorithm for analyzing multiple data sets
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BIOCOMP
2006
13 years 10 months ago
A Heuristic Approach to Scoring Gene Clustering Algorithms
In the past decades, many clustering algorithms have been proposed for the analysis of gene expression data, but little guidance is available to help choose among them. Given the ...
Longde Yin, Chun-Hsi Huang
RSFDGRC
2005
Springer
110views Data Mining» more  RSFDGRC 2005»
14 years 2 months ago
A Rough Set Based Model to Rank the Importance of Association Rules
Abstract. Association rule algorithms often generate an excessive number of rules, many of which are not significant. It is difficult to determine which rules are more useful, int...
Jiye Li, Nick Cercone
BMCBI
2010
106views more  BMCBI 2010»
13 years 9 months ago
Multiple structure alignment and consensus identification for proteins
Background: An algorithm is presented to compute a multiple structure alignment for a set of proteins and to generate a consensus (pseudo) protein which captures common substructu...
Ivaylo Ilinkin, Jieping Ye, Ravi Janardan
IWANN
2001
Springer
14 years 1 months ago
Repeated Measures Multiple Comparison Procedures Applied to Model Selection in Neural Networks
One of the main research concern in neural networks is to find the appropriate network size in order to minimize the trade-off between overfitting and poor approximation. In this ...
Elisa Guerrero Vázquez, Andrés Y&aac...
SDM
2008
SIAM
176views Data Mining» more  SDM 2008»
13 years 10 months ago
A General Model for Multiple View Unsupervised Learning
Multiple view data, which have multiple representations from different feature spaces or graph spaces, arise in various data mining applications such as information retrieval, bio...
Bo Long, Philip S. Yu, Zhongfei (Mark) Zhang