Sentence examples for multiple classifications are from inspiring English sources
p o : window overlap, which specifies the amount of overlap (in time units) in case multiple classifications are performed for each detection.
Event detection by stochastic mapping is determined by a varying cutoff value (posterior probability of event), thus multiple classifications are possible with various levels of sensitivity (=true positive rate [TPR]) and specificity (=1 − false positive rate [FPR]).
As a multiple classification is traditionally reduced to a sequence of binary ones, the approaches mentioned above are also applicable to it.
To identify the "race" attribute in a face image, a multiple classification is used under the "one versus all" scheme, where the objects of the "Caucasian" class are identified first based on the proposed modification of the binary classification, and then the remaining objects are classified as either "Asian" or "Black".
Reads aligning to intronic or overlapping multiple region classifications are not unexpected due to partially processed RNAs in the transcriptome library and the possibility of alternative splicing events [ 36].
Although many of our outcomes overlap with definitions in the World Health Organization's International Classification of Functioning, Disability and Health (ICF [14], for this study multiple ICF classifications were collapsed into a few more broadly-defined outcomes.
Within each job, multiple NAICS and NOC classifications were allowed.
In cases where multiple related classifications were significant, only a subset is listed.
The single and multiple pathology classifications were then used to predict longitudinal change in each of the cognitive outcomes and in two derived composites.
Within each of these broad classifications are multiple distinct syndromes, more than half of which are considered to be 'genetic epilepsies'.
Such classifications are available from multiple sources including the Gene Ontology (GO)[ 19] (and associated annotation repositories such as the Saccharomyces Genome Database)[ 20], KEGG [ 11], the Munich Information Center for Protein Sequences (MIPS) [ 21], and the Yeast Protein Database (YPD) [ 22].
