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Modelling COVID-19 Pandemic Dynamics Using Transparent, Interpretable,
  Parsimonious and Simulatable (TIPS) Machine Learning Models: A Case Study
  from Systems Thinking and System Identification Perspectives

Modelling COVID-19 Pandemic Dynamics Using Transparent, Interpretable, Parsimonious and Simulatable (TIPS) Machine Learning Models: A Case Study from Systems Thinking and System Identification Perspectives

1 November 2021
H. Wei
S. Billings
ArXivPDFHTML

Papers citing "Modelling COVID-19 Pandemic Dynamics Using Transparent, Interpretable, Parsimonious and Simulatable (TIPS) Machine Learning Models: A Case Study from Systems Thinking and System Identification Perspectives"

1 / 1 papers shown
Title
Sparse Representation-Based Classification: Orthogonal Least Squares or
  Orthogonal Matching Pursuit?
Sparse Representation-Based Classification: Orthogonal Least Squares or Orthogonal Matching Pursuit?
M. Cui
S. Prasad
8
16
0
18 Jul 2016
1