Amanote Research

Amanote Research

    RegisterSign In

Short-Term Traffic Prediction With Vicinity Gaussian Process in the Presence of Missing Data

doi 10.1109/sdf.2018.8547118
Full Text
Open PDF
Abstract

Available in full text

Date

October 1, 2018

Authors
Peng WangYoungjoo KimLubos VaciHaoze YangLyudmila Mihaylova
Publisher

IEEE


Related search

Prediction of Plasma Simulation Data With the Gaussian Process Method

2014English

A Short-Term User Load Forecasting With Missing Data

DEStech Transactions on Engineering and Technology Research
2018English

Multi Long-Short Term Memory Models for Short Term Traffic Flow Prediction

IEICE Transactions on Information and Systems
Electronic EngineeringPattern RecognitionHardwareComputer VisionElectricalArchitectureArtificial IntelligenceSoftware
2018English

Statistical Inference in the Presence of Missing Data

English

Short-Term Freeway Traffic Flow Prediction: Bayesian Combined Neural Network Approach

Journal of Transportation Engineering
CivilTransportationStructural Engineering
2006English

Testing for Rare Variant Associations in the Presence of Missing Data

Genetic Epidemiology
EpidemiologyGenetics
2013English

Short-Term Traffic Flow Forecasting Considering Upstream Traffic Information

2018English

Fatigue Life Prediction Using Multivariate Gaussian Process

2008English

Improving the Short-Term Prediction of Suicidal Behavior

American Journal of Preventive Medicine
EpidemiologyPublic HealthOccupational HealthEnvironmental
2014English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy