Investigating the Predictive Performance of Gaussian Process Machine Learning in Time Series Demographic Data Handling-Reference-Cited by-同舟云学术

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Investigating the Predictive Performance of Gaussian Process Machine Learning in Time Series Demographic Data Handling

Published:2024-03-14 Issue: Volume: Page:198-202
ISSN:
Container-title:2024 16th International Conference on Computer and Automation Engineering (ICCAE)
language:
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Author:

Nagaratnam Shalini¹,Aris Muhammad Naeim Mohd²,Hamdan Nuralea Natasya Amir³

Affiliation:

1. School of Business, Monash University Malaysia,Department of Econometrics and Business Statistics,Bandar Sunway,Malaysia

2. School of American Education, Sunway University,Department of American Degree Transfer Program,Bandar Sunway,Malaysia

3. College of Computing, Informatics and Mathematics, Universiti Teknologi MARA,Malaysia

Funder

Monash University Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10569140/10569143/10569937.pdf?arnumber=10569937

Reference20 articles.

1. The Economics of Artificial Intelligence

2. A missing power data filling method based on improved random forest algorithm

3. Robust Non-Parametric Mortality and Fertility Modelling and Forecasting: Gaussian Process Regression Approaches

4. GPR and ANN based Prediction Models for COVID-19 Death Cases

5. Machine Learning With Big Data: Challenges and Approaches

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