Zobrazeno 1 - 4
of 4
pro vyhledávání: '"cosine depth"'
Publikováno v:
Applications of Mathematics. 65:331-342
The main goal of supervised learning is to construct a function from labeled training data which assigns arbitrary new data points to one of the labels. Classification tasks may be solved by using some measures of data point centrality with respect t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4da3bb04a01f2b525e35cd50242c7cb4
https://doi.org/10.21136/am.2020.0331-19
https://doi.org/10.21136/am.2020.0331-19
Autor:
PANDOLFO, GIUSEPPE, Giovanni C. Porzio
The DD-classifier, which has been extended to the classification of directional objects, is here investigated in the case of some new distance-based directional depths. The DD-classifier is a non-parametric techniques based on the depth vs. depth (DD
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3730::784381c939220b9dcdbb17b0cc163eff
http://hdl.handle.net/11588/726032
http://hdl.handle.net/11588/726032
Akademický článek
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