Abstract: Industrial data suffers from high dimensionality and non-linearity in fault diagnosis. Therefore, it is important to extract effective features from measurement space to enhance fault ...
Abstract: This paper presents a new nonparametric linear feature extraction method coined geometrically intuitive marginal discriminant analysis (IMDA). Motivated by the law of cosines in trigonometry ...
The search for the Higgs boson in e + e − collisions at energies above the Z 0 mass requires an efficient method to reject the many background channels. We have investigated an iterated discriminant ...
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