z-logo
open-access-imgOpen Access
Diabetes Diagnosis using Feature Weighted Support Vector Machines and Modified Cuckoo Search
Author(s) -
Davar Giveki,
Seyed Mohammadreza Ebrahimipour,
Mohammad Ali Soltanshahi,
Younes Khademian
Publication year - 2012
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/9371-9528
Subject(s) - cuckoo search , computer science , feature (linguistics) , support vector machine , cuckoo , artificial intelligence , pattern recognition (psychology) , feature vector , machine learning , data mining , zoology , philosophy , linguistics , particle swarm optimization , biology

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