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IJCNN
2006
IEEE
15 years 10 months ago
Nonlinear principal component analysis of noisy data
With very noisy data, having plentiful samples eliminates overfitting in nonlinear regression, but not in nonlinear principal component analysis (NLPCA). To overcome this problem...
William W. Hsieh
MOBIQUITOUS
2005
IEEE
15 years 9 months ago
Correlation Analysis for Alleviating Effects of Inserted Data in Wireless Sensor Networks
This paper introduces a new approach that addresses data contamination problems from attacks in unattended wireless sensor networks. We propose a sliding-window based spatio-tempo...
Sapon Tanachaiwiwat, Ahmed Helmy
CMSB
2003
Springer
15 years 9 months ago
An Overview of Data Models for the Analysis of Biochemical Pathways
Biochemical pathways such as metabolic, regulatory or signal tranduction pathways can be viewed as interconnected processes forming an intricate network of functional and physical...
Yves Deville, David Gilbert, Jacques van Helden, S...
GECCO
2003
Springer
127views Optimization» more  GECCO 2003»
15 years 9 months ago
Complex Function Sets Improve Symbolic Discriminant Analysis of Microarray Data
Abstract. Our ability to simultaneously measure the expression levels of thousands of genes in biological samples is providing important new opportunities for improving the diagnos...
David M. Reif, Bill C. White, Nancy Olsen, Thomas ...
GCB
2008
Springer
103views Biometrics» more  GCB 2008»
15 years 5 months ago
Utilizing Promoter Pair Orientations for HMM-based Analysis of ChIP-chip Data
: Array-based analysis of chromatin immunoprecipitation data (ChIP-chip) is a powerful technique for identifying DNA target regions of individual transcription factors. Here, we pr...
Michael Seifert, Jens Keilwagen, Marc Strickert, I...