Applying the Gaussian Mixture Model to Generate Large Synthetic Data from a Small Data Set

Chokwitthaya, Chanachok / Zhu, Yimin / Mukhopadhyay, Supratik et al. | ASCE | 2020

A deep learning framework to generate synthetic mobility data

Arkangil, Eren / Yildirimoglu, Mehmet / Kim, Jiwon et al. | IEEE | 2023

A Gaussian Mixture Model and Data Fusion Approach for Urban Travel Time Forecast

Gemma, Andrea / Mannini, Livia / Carrese, Stefano et al. | IEEE | 2021

An additive approximate Gaussian process model for large spatio‐temporal data

Ma, Pulong / Konomi, Bledar A. / Kang, Emily L. | Wiley | 2019

Applying Data

Deutsch, Randy | Wiley | 2012