Case-Based Statistical Learning: A Non-Parametric Implementation With a Conditional-Error Rate SVM

Case-Based Statistical Learning: A Non-Parametric Implementation With a Conditional-Error Rate SVM

Machine learning has been successfully applied to many areas of science and engineering. Some examples include time series prediction, optical character recognition, signal and image classification in biomedical applications for diagnosis and prognosis and so on. In the theory of semi-supervised lea...

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Bibliographic Details
Main Authors: J. M. Gorriz, J. Ramirez, J. Suckling, Ignacio Alvarez Illan, Andres Ortiz, F. J. Martinez-Murcia, Fermin Segovia, D. Salas-Gonzalez, Shuihua Wang
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Statistical learning and decision theory
support vector machines (SVM)
hypothesis testing
partial least squares
conditional-error rate
Online Access:https://ieeexplore.ieee.org/document/7945239/

Internet

https://ieeexplore.ieee.org/document/7945239/

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