Background: High-throughput screens comparing growth rates of arrays of distinct micro-organism cultures on solid agar are useful, rapid methods of quantifying genetic interaction...
Conor Lawless, Darren J. Wilkinson, Alexander Youn...
Independent Component Analysis (ICA) is a statistical method for expressing an observed set of random vectors as a linear combination of statistically independent components. This...
Hariton Korizis, Nikolaos Mitianoudis, Anthony G. ...
Abstract. Topic models are a discrete analogue to principle component analysis and independent component analysis that model topic at the word level within a document. They have ma...
Verification of a modular system composed of communicating components is a difficult problem, especially when the models of the components are not available. Conventional testing t...
Roland Groz, Keqin Li 0002, Alexandre Petrenko, Mu...
—Principal component based anomaly detection has emerged as an important statistical tool for network anomaly detection. It works by projecting summary network information onto a...