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Multiple Classification Ripple-Down Rules (MCRDR) is an extended methodology which allows an expert to build and maintain a knowledge-based system for multiple classification without technical assistance.
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We describe several ways of measuring the categorization success that account for the attribution of multiple classification codes to each patent document.
Stage 2 Generation of decision functions (f_M^{mathrm{race}} (widehat{x})) also (f_F^{mathrm{race}} (widehat{x})) within each gender group for a multiple classification of objects by race using a binary classification (the "one versus all" scheme) taking into account the proposed bootstrapping procedure.
Multiple classification systems for ecosystem services (ES) make comparison and integration between studies and assessments very difficult.
There exist multiple classification systems for these disorders depending on the clinical phenotypes, affected organs, mode of inheritance, occurrence in a specific metabolic pathway and other factors.
The performance of our proposed approach is compared with three competing approaches for augmenting datasets and evaluated using multiple classification algorithms; and the results indicate the superior performance of our proposed method.
Multivariate analysis of the variation in intensity of COPE-M in RTI was performed using multiple classification analysis (MCA) for these cases [ 19].
For multiple class classification, AUC score is the area under ROC surface.
Multiple classification systems have been proposed for femoral head fractures [2, 3, 4, 5].
Multiple membership multiple classification (MMMC) multilevel models have been around for some time (3) but are underused in social epidemiology.
In my understanding (and I believe consistently with what is found in the philosophy textbooks), Aristotle is known for having produced multiple classifications of beings, based on different characters.
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