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Volume 15, Issue 2
Classification with application to Functional Data based on Gaussian process

Xin Liu and Chunzheng Cao

J. Info. Comput. Sci. , 15 (2020), pp. 134-140.

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  • 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.
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@Article{JICS-15-134, author = {Xin Liu and Chunzheng Cao}, 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 = {3080-180X}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jics/22388.html} }
TY - JOUR T1 - Classification with application to Functional Data based on Gaussian process AU - Xin Liu and Chunzheng Cao JO - Journal of Information and Computing Science VL - 2 SP - 134 EP - 140 PY - 2020 DA - 2020/06 SN - 15 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/jics/22388.html KW - AB - 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.
Xin Liu and Chunzheng Cao. (2020). Classification with application to Functional Data based on Gaussian process. Journal of Information and Computing Science. 15 (2). 134-140. doi:
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