z-logo
open-access-imgOpen Access
Diabetic Retinopathy: Identification and Classification using Different Kernel on Support Vector Machine
Author(s) -
Ahmad Zoebad Foeady,
Dian Candra Rini Novitasari,
Ahmad Hanif Asyhar
Publication year - 2018
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5220/0008517400720079
Subject(s) - support vector machine , kernel (algebra) , computer science , artificial intelligence , diabetic retinopathy , identification (biology) , pattern recognition (psychology) , kernel method , radial basis function kernel , polynomial kernel , machine learning , medicine , mathematics , diabetes mellitus , biology , botany , combinatorics , endocrinology

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom