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» Cosparse analysis modeling - uniqueness and algorithms
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BMCBI
2010
144views more  BMCBI 2010»
15 years 7 months ago
Super-sparse principal component analyses for high-throughput genomic data
Background: Principal component analysis (PCA) has gained popularity as a method for the analysis of highdimensional genomic data. However, it is often difficult to interpret the ...
Donghwan Lee, Woojoo Lee, Youngjo Lee, Yudi Pawita...
BMCBI
2007
194views more  BMCBI 2007»
15 years 7 months ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung
WOSP
1998
ACM
15 years 11 months ago
Poems: end-to-end performance design of large parallel adaptive computational systems
The POEMS project is creating an environment for end-to-end performance modeling of complex parallel and distributed systems, spanning the domains of application software, runti...
Ewa Deelman, Aditya Dube, Adolfy Hoisie, Yong Luo,...
GECCO
1999
Springer
15 years 11 months ago
An Immunogenetic Approach to Spectra Recognition
The paper describes an immunogenetic approach to recognize spectra for chemical analysis. In particular, an immunological model for chemical reactions is introduced in which a pop...
Dipankar Dasgupta, Yuehua Cao, Congjun Yang
185
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HYBRID
1997
Springer
15 years 11 months ago
Hybrid Systems with Finite Bisimulations
Abstract. The theory of formal verification is one of the main approaches to hybrid system analysis. Decidability questions for verification algorithms are obtained by constructi...
Gerardo Lafferriere, George J. Pappas, Shankar Sas...