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» Discovering Classification from Data of Multiple Sources
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BMCBI
2005
121views more  BMCBI 2005»
15 years 1 months ago
Evaluation of gene importance in microarray data based upon probability of selection
Background: Microarray devices permit a genome-scale evaluation of gene function. This technology has catalyzed biomedical research and development in recent years. As many import...
Li M. Fu, Casey S. Fu-Liu
SIGMETRICS
2011
ACM
296views Hardware» more  SIGMETRICS 2011»
14 years 4 months ago
Cellular data network infrastructure characterization and implication on mobile content placement
Despite the tremendous growth in the cellular data network usage due to the popularity of smartphones, so far there is rather limited understanding of the network infrastructure o...
Qiang Xu, Junxian Huang, Zhaoguang Wang, Feng Qian...
111
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ISNN
2007
Springer
15 years 8 months ago
A Hierarchical Self-organizing Associative Memory for Machine Learning
This paper proposes novel hierarchical self-organizing associative memory architecture for machine learning. This memory architecture is characterized with sparse and local interco...
Janusz A. Starzyk, Haibo He, Yue Li
126
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AUSDM
2008
Springer
221views Data Mining» more  AUSDM 2008»
15 years 3 months ago
Indoor Location Prediction Using Multiple Wireless Received Signal Strengths
This paper presents a framework for indoor location prediction system using multiple wireless signals available freely in public or office spaces. We first proabstract architectur...
Kha Tran, Dinh Q. Phung, Brett Adams, Svetha Venka...
BMCBI
2006
109views more  BMCBI 2006»
15 years 1 months ago
Integrated analysis of gene expression by association rules discovery
Background: Microarray technology is generating huge amounts of data about the expression level of thousands of genes, or even whole genomes, across different experimental conditi...
Pedro Carmona-Saez, Monica Chagoyen, Andrés...