Gaussian Process Regression-based GPS Variance Estimation and Trajectory Forecasting

Gaussian Process Regression-based GPS Variance Estimation and Trajectory Forecasting

Spatio-temporal data is a commonly used source of information. Using machine learning to analyse this kind of data can lead to many interesting and useful insights. In this thesis project, a novel public transportation spatio-temporal dataset is explored and analysed. The dataset contains 282 GB of...

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Bibliographic Details
Main Author: Kortesalmi, Linus
Format: Others
Language:English
Published: Linköpings universitet, Institutionen för datavetenskap 2018
Subjects:
Machine Learning
GPR
Gaussian Process
GP
Gaussian Process Regression
Variance Estimation
Trajectory
Trajectory Forecasting
Regression
Gaussiska Processer
Variansestimering
trajektoria
Statistik
Maskininlärning
Computer Sciences
Datavetenskap (datalogi)
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-153126

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-153126

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