Comparison of Kernel Function on Support Vector Machine in Classification of Childbirth
The maternal mortality rate during childbirth can be reduced through the efforts of the medical team in determining the childbirth process that must be undertaken immediately. Machine learning in terms of classifying childbirth can be a solution for the medical team in determining the childbirth pro...
Guardado en:
Autor principal: | Putroue Keumala Intan |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Department of Mathematics, UIN Sunan Ampel Surabaya
2019
|
Materias: | |
Acceso en línea: | https://doaj.org/article/1b047bd18fe94a8ab84358ce64837391 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
A Nonlinear Support Vector Machine Analysis Using Kernel Functions for Nature and Medicine
por: Yassin Benajiba, et al.
Publicado: (2021) -
Penerapan Non-Linier Support Vector Machine pada Penggunaan Alat Kontrasepsi di Provinsi Maluku Utara
por: Muhamad Budiman Johra
Publicado: (2018) -
Boundary asymptotics of the relative Bergman kernel metric for hyperelliptic curves
por: Dong Robert Xin
Publicado: (2017) -
On kernels by rainbow paths in arc-coloured digraphs
por: Li Ruijuan, et al.
Publicado: (2021) -
Control of The Spread of TB-HIV/AIDS Coinfection Using Optimal Control
por: Yuyun Monita, et al.
Publicado: (2021)