Defining "Normal" Behavior

Dec 15, 2021 ... Three sources of uncertainties in categorical attributes are recognised in this research. The informational uncertainty, unforeseeable ... The following table shows the true classification of exposure and the health outcome (Note: these data are hypothetical and typically researchers would not know ... Methods: The categorical data were collected by specifically designed questionnaires from adult patients (n = 928) on discharge from one Finnish hospital. The ... Sep 5, 2024 ... ming functors with a target category that is an abelian category describing probability data, as introduced in [106]. The most important ... Aug 13, 2024 ... Using data from members of innovation teams across 27 organizations in 11 industries (for which variation in thinking should be highly valued), ... By doing so, we answer Blankespoor, deHaan, and Marinovic (2020) call for research on information processing costs in broader contexts. ... A categorical variable ... Jan 21, 2014 ... Informational needs of participants in the Coriell ... Frequency counts were used for categorical as well as ordered categorical data. Sep 5, 2021 ... During EDA, we often perform binning of categorical and continuous variables. Assume, in a dataset, we have Age as a continuous variable and ... The Highway Safety Information System (HSIS) is a roadway-based system that provides quality data on a large number of crash, roadway, and traffic variables ... From the fMRI data, we generated a whole-brain activation map for each concept, reflecting the unique spatial pattern of neural activity for that concept (Fig.