Cargando…
Distributed Support Vector Ordinal Regression over Networks
Ordinal regression methods are widely used to predict the ordered labels of data, among which support vector ordinal regression (SVOR) methods are popular because of their good generalization. In many realistic circumstances, data are collected by a distributed network. In order to protect privacy o...
Autores principales: | Liu, Huan, Tu, Jiankai, Li, Chunguang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689832/ https://www.ncbi.nlm.nih.gov/pubmed/36359657 http://dx.doi.org/10.3390/e24111567 |
Ejemplares similares
-
Ordinal regression models for zero-inflated and/or over-dispersed count data
por: Valle, Denis, et al.
Publicado: (2019) -
Genomic-Enabled Prediction of Ordinal Data with Bayesian Logistic Ordinal Regression
por: Montesinos-López, Osval A., et al.
Publicado: (2015) -
Ordinal Logistic Regression in Medical Research
por: Bender, Ralf, et al.
Publicado: (1997) -
Evaluating Doctor Performance: Ordinal Regression-Based Approach
por: Shi, Yong, et al.
Publicado: (2018) -
Multivariate decoding of brain images using ordinal regression()
por: Doyle, O.M., et al.
Publicado: (2013)