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» Optimal Solutions for Sparse Principal Component Analysis
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BMCBI
2010
277views more  BMCBI 2010»
14 years 9 months ago
PCA2GO: a new multivariate statistics based method to identify highly expressed GO-Terms
Background: Several tools have been developed to explore and search Gene Ontology (GO) databases allowing efficient GO enrichment analysis and GO tree visualization. Nevertheless,...
Marc Bruckskotten, Mario Looso, Franz Cemic, Anne ...
BMCBI
2011
14 years 1 months ago
To aggregate or not to aggregate high-dimensional classifiers
Background: High-throughput functional genomics technologies generate large amount of data with hundreds or thousands of measurements per sample. The number of sample is usually m...
Cheng-Jian Xu, Huub C. J. Hoefsloot, Age K. Smilde
ICSE
2005
IEEE-ACM
15 years 9 months ago
Use of relative code churn measures to predict system defect density
Software systems evolve over time due to changes in requirements, optimization of code, fixes for security and reliability bugs etc. Code churn, which measures the changes made to...
Nachiappan Nagappan, Thomas Ball
ICASSP
2008
IEEE
15 years 4 months ago
Time-frequency localization from sparsity constraints
In the case of multicomponent AM-FM signals, the idealized representation which consists of weighted trajectories on the time-frequency (TF) plane, is intrinsically sparse. Recent...
Pierre Borgnat, Patrick Flandrin
ICASSP
2008
IEEE
15 years 4 months ago
Stability analysis of complex maximum likelihood ica using Wirtinger calculus
The desirable asymptotic optimality properties of the maximum likelihood (ML) estimator make it an attractive solution for performing independent component analysis (ICA) as well....
Hualiang Li, Tülay Adali