Madli Linder

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The aim of this study was to investigate the applicability of the distance correction parameter (DCP) integrated to the case-based prediction system CONSTUD to reduce the effect of spatial autocorrelation of training data in machine learning process. To achieve this, calculated similarity between observations is decreased by the so-called distance(More)
This paper addresses the possibility of mathematically partition and process urine 1 H-NMR spectra to enhance the efficiency of the subsequent multivariate data analysis in the context of metabolic profiling of a toxicity study. We show that by processing the NMR data with the peak alignment using reduced set mapping (PARS) algorithm and the use of sparse(More)
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