Bilinear Gaussian Radial Basis Function Networks for classification of repeated measurements

Bilinear Gaussian Radial Basis Function Networks for classification of repeated measurements

The Growth Curve Model is a bilinear statistical model which can be used to analyse several groups of repeated measurements. Normally the Growth Curve Model is defined in such a way that the permitted sampling frequency of the repeated measurement is limited by the number of observed individuals in...

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Bibliographic Details
Main Author: Sjödin Hällstrand, Andreas
Format: Others
Language:English
Published: Linköpings universitet, Matematisk statistik 2020
Subjects:
Bilinear Regression
Classification
Supervised Learning
High Dimensional Statistics
Growth Curve Model
Regularization
Radial Basis
Probability Theory and Statistics
Sannolikhetsteori och statistik
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-170850

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-170850

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