Sentence examples for label classifications from inspiring English sources

The "discriminatory" aspect of the key new (sequence-dependent) contribution is most evident in forms like that above, where we have a likelihood ratio for the observed sequences given the different label "classifications" chosen.

This section discusses past efforts on emotion detection in music, mainly in terms of emotion model, extracted features, and the kind of modeling of the learning problem: (a) single label classification, (b) regression, and (c) multi-label classification.

For the former, each browsing category requires a cluster label, classification is then used to assign the documents to the browsing category.

In traditional classification problems, one case would be only classified to one category (i.e. label) which is called single label classification.

The summer before the book's publication, Little, Brown sent promotional materials — an excerpt of the King Alfred Plan alongside details of the book's publication, all in a manila folder labelled "CLASSIFICATION: TOP SECRET" — to two thousand booksellers and jobbers.

Multi-label classification requires different evaluation measures than traditional single-label classification.

Also, our approach is applicable to single-label classification, multi-label classification, as well as regression problems.

Binary relevance corresponds to the baseline of multi-label classification.

Single-label classification and regression cannot model this multiplicity.

This way, CLR manages to perform multi-label classification.

They transform the multi-label classification task into one or more single-label classification, regression, or ranking tasks.