Construction of classifiers based on kernel density estimations using the a posteriori probabilities of competing sets
Saved in:
Date: | 2015 |
---|---|
Main Authors: | A. V. Anisimov, O. A. Halkin |
Format: | Article |
Language: | English |
Published: |
2015
|
Series: | Reports of the National Academy of Sciences of Ukraine |
Online Access: | http://jnas.nbuv.gov.ua/article/UJRN-0000461265 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Journal Title: | Library portal of National Academy of Sciences of Ukraine | LibNAS |
Institution
Library portal of National Academy of Sciences of Ukraine | LibNASSimilar Items
-
Research of properties of the extrapolation depth functions using kernel density estimates
by: O. A. Halkin
Published: (2016) -
Asymptotic estimate of depth-based classifiers within the location shift model
by: O. A. Halkin
Published: (2015) -
On one homogeneity test based on the kernel-type estimators of the distribution density
by: P. K. Babilua, et al.
Published: (2019) -
Research of nonparametric maximum-depth classifiers based on the spatial quantiles
by: O. A. Halkin
Published: (2015) -
Application of smoothing measures in nonparametric kernel classi-fiers using normal approximation of probabilities
by: A. A. Galkin
Published: (2015)