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Correlation dimension of reconstructed attractor (D(2)) is one of the specific values for human electroencephalogram (EEG). It makes it possible to evaluate variability of human brain functioning. There are some requirements, made for time series to be analyzed by Grassberger-Procaccia method, and EEG does not meet them perfectly. Also, realization of this(More)
This paper deals with the Mie scattering kernels for multi-spectral data. The kernels may be represented in form of power series. Furthermore, the singular-value spectrum and the degree of ill-posedness in dependence on the refractive index of the particles are numerically approximated. A special hybrid regularization technique allows us to determine via(More)
Two glioblastoma groups, which are distinguished from each other by expression level of 416 genes (p ≤ 0.05), were determined using a mathematical model of linear Boolean programming on the basis of gene expression data, obtained by microarray analysis of the glioblastomas and available in Gene Expression Omnibus (GEO) data base. The expression level of 15(More)
MOTIVATION One of the important aspects of the data classification problem lies in making the most appropriate selection of features. The set of variables should be small and, at the same time, should provide reliable discrimination of the classes. The method for the discriminating power evaluation that enables a comparison between different sets of(More)
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