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BMCBI
2010
190views more  BMCBI 2010»
15 years 6 months ago
Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification alg
Background: Data generated using `omics' technologies are characterized by high dimensionality, where the number of features measured per subject vastly exceeds the number of...
Yu Guo, Armin Graber, Robert N. McBurney, Raji Bal...
BMCBI
2007
101views more  BMCBI 2007»
15 years 6 months ago
Statistical validation of megavariate effects in ASCA
Background: Innovative extensions of (M) ANOVA gain common ground for the analysis of designed metabolomics experiments. ASCA is such a multivariate analysis method; it has succes...
Daniel J. Vis, Johan A. Westerhuis, Age K. Smilde,...
PRL
2008
85views more  PRL 2008»
15 years 6 months ago
Reliability estimation of a statistical classifier
Pattern classification techniques derived from statistical principles have been widely studied and have proven powerful in addressing practical classification problems. In real-wo...
Pandu Ranga Rao Devarakota, Bruno Mirbach, Bjö...
AROBOTS
2002
115views more  AROBOTS 2002»
15 years 6 months ago
Statistical Learning for Humanoid Robots
The complexity of the kinematic and dynamic structure of humanoid robots make conventional analytical approaches to control increasingly unsuitable for such systems. Learning techn...
Sethu Vijayakumar, Aaron D'Souza, Tomohiro Shibata...
GLOBECOM
2007
IEEE
16 years 1 months ago
Optimal Sink Deployment for Distributed Sensing of Spatially Nonstationary Phenomena
— The optimal deployment of sinks in a sensor region for power efficient data gathering of a physical phenomenon is investigated in this work. In the system of consideration, no...
Lorenzo A. Rossi, Bhaskar Krishnamachari, C. C. Ja...