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The robustness of the superpixel classification procedure based on the normalized cut algorithm with respect to different levels of additive Gaussian noise was first investigated.
We estimate a complex Wishart model distribution for each class using training data, and we use such models to design a new classification procedure based on a diffusion-reaction equation.
This information is not used in the definition of the tests, but can be used in the classification of the tests results, either by individually comparing the tests results with the regular workload output, or by using an automatic robustness classification procedure based on machine learning techniques [37].
In addition to avoiding potential self-esteem biases in individuals' responses about the educational requirements of their jobs, our method avoids the use of hard-to-replicate expert judgements and deploys an observer-neutral classification procedure based on relatively simple statistical classification methods.
This classification has been subsequently used by Miranda and Barton, who proposed a multilevel classification procedure based on Hidden Markov Model (HMM) profiles of catalytic domains for sequence classification [29].
Since the composition of our dataset was significantly enriched for triple-negative breast cancers, therefore deviating from the original data set composition used to develop PAM50 centroids, we used an iterative classification procedure based on random sampling, as described in [ 10]. miRNA data were pre-processed using the AgiMicroRna (http://www.aroma-project.org) R package [ 47].
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The current paper adds to this literature by proposing (i) a simple classification of distributional preference types that nests almost all major classifications of archetypes discussed in the economic and the social psychology literature; and (ii) a simple identification procedure based on the classification.
The paper then outlines the philosophical and conceptual framework of the eligibility procedure based on the International Classification of Functioning, Disability and Health, and the UN Convention on the Rights of Persons with Disability.
Based on the theoretical analysis and the feature selection procedure based on Sequential Backward Selection (SBS), four statistical parameters,,, and responding to energy, correlation, contrast, and sum average, respectively, are chosen for texture features in the classification.
In this study, an image processing scheme composed of segmentation procedures based on anisotropic diffusion and shape classification is presented.
Qualitative classification procedures are based on scales while quantitative classification procedures are based on ratio scales (Wheaton 1968).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com