@Article{JICS-15-2,
author = {},
title = {Classification with application to Functional Data based on Gaussian process},
journal = {Journal of Information and Computing Science},
year = {2020},
volume = {15},
number = {2},
pages = {134--140},
abstract = { In  this  paper,  we  briefly  introduce  four  methods  for  functional  classification.  To  compare  the 
effects of the four  models,  we  generate the data  from  Gaussian process based on a functional  mixed-effects 
model, square exponential kernel is used in random-effect term to describe the nonlinear structure of the data. 
The outcomes show that the two functional classification models have a better prediction correct rate than the 
two machine learning classification models. 
},
issn = {1746-7659},
doi = {https://doi.org/2024-JICS-22388},
url = {https://global-sci.com/article/87025/classification-with-application-to-functional-data-based-on-gaussian-process}
}