Search results: Sage Journals

Restricted accessResearch articleFirst published April, 2024

Active preference-based Gaussian process regression for reward learning and optimization

Erdem Bıyık, Nicolas Huynh, Mykel J. Kochenderfer [...]

The International Journal of Robotics Research

Restricted accessResearch articleFirst published February 2, 2021

Simulation of English teaching quality evaluation model based on gaussian process machine learning

Huang Wenming

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Open accessResearch articleFirst published 2022

Gaussian Process Regression and Machine Learning Methods for Carbon-Based Material Adsorption

Manar Ahmed Hamza, Maha M. Althobaiti, Fahd N. Al-Wesabi [...]

Adsorption Science & Technology

Restricted accessResearch articleFirst published June, 2019

Surface roughness optimal estimation for disc parts turning using Gaussian-process-based Bayesian combined model

Hongqi Liu, Hai Lin, Xinyong Mao [...]

Proceedings of the Institution of Mechanical Engineers,Part C: Journal of Mechanical Engineering Science

Restricted accessResearch articleFirst published July, 2023

Combining multitask and transfer learning with deep Gaussian processes for autotuning-based performance engineering

Piotr Luszczek, Wissam M Sid-Lakhdar, Jack Dongarra

The International Journal of High Performance Computing Applications

Open accessResearch articleFirst published 2026

Physics and gaze-based drift trajectory prediction with an online learning framework

Yiwen Sun, Efstathios Velenis, Ajinkya Krishnakumar

Proceedings of the Institution of Mechanical Engineers,Part D: Journal of Automobile Engineering

Restricted accessResearch articleFirst published August, 2025

Learning-based model predictive control for safe path planning and control

Hongbin Ren, Yunong Li, Yang Wang [...]

Proceedings of the Institution of Mechanical Engineers,Part D: Journal of Automobile Engineering

Restricted accessResearch articleFirst published 2025

Forecasting the Chinese energy security index price: A Gaussian process regression-based machine learning framework enhanced by Bayesian optimisation and cross-validation

Bingzi Jin, Xiaojie Xu

Ironmaking & Steelmaking: Processes,Products and Applications

Restricted accessResearch articleFirst published 2026

Analysis of friction stir welding in SS304L using transient coupled thermomechanical finite element and machine learning-based Gaussian Process Regression framework

Kumar Shambhav, Shubham Kumar, Rakesh Kumar [...]

Proceedings of the Institution of Mechanical Engineers,Part E: Journal of Process Mechanical Engineering

Restricted accessResearch articleFirst published April 12, 2021

Research on air pollution system based on neural network

Zhiqi Jiang, Xidong Wang

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Restricted accessResearch articleFirst published April, 2024

Active preference-based Gaussian process regression for reward learning and optimization

Erdem Bıyık, Nicolas Huynh, Mykel J. Kochenderfer [...]

The International Journal of Robotics Research

Restricted accessResearch articleFirst published February 2, 2021

Simulation of English teaching quality evaluation model based on gaussian process machine learning

Huang Wenming

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Open accessResearch articleFirst published 2022

Gaussian Process Regression and Machine Learning Methods for Carbon-Based Material Adsorption

Manar Ahmed Hamza, Maha M. Althobaiti, Fahd N. Al-Wesabi [...]

Adsorption Science & Technology

Restricted accessResearch articleFirst published June, 2019

Surface roughness optimal estimation for disc parts turning using Gaussian-process-based Bayesian combined model

Hongqi Liu, Hai Lin, Xinyong Mao [...]

Proceedings of the Institution of Mechanical Engineers,Part C: Journal of Mechanical Engineering Science

Restricted accessResearch articleFirst published July, 2023

Combining multitask and transfer learning with deep Gaussian processes for autotuning-based performance engineering

Piotr Luszczek, Wissam M Sid-Lakhdar, Jack Dongarra

The International Journal of High Performance Computing Applications

Open accessResearch articleFirst published 2026

Physics and gaze-based drift trajectory prediction with an online learning framework

Yiwen Sun, Efstathios Velenis, Ajinkya Krishnakumar

Proceedings of the Institution of Mechanical Engineers,Part D: Journal of Automobile Engineering

Restricted accessResearch articleFirst published August, 2025

Learning-based model predictive control for safe path planning and control

Hongbin Ren, Yunong Li, Yang Wang [...]

Proceedings of the Institution of Mechanical Engineers,Part D: Journal of Automobile Engineering

Restricted accessResearch articleFirst published 2025

Forecasting the Chinese energy security index price: A Gaussian process regression-based machine learning framework enhanced by Bayesian optimisation and cross-validation

Bingzi Jin, Xiaojie Xu

Ironmaking & Steelmaking: Processes,Products and Applications

Restricted accessResearch articleFirst published 2026

Analysis of friction stir welding in SS304L using transient coupled thermomechanical finite element and machine learning-based Gaussian Process Regression framework

Kumar Shambhav, Shubham Kumar, Rakesh Kumar [...]

Proceedings of the Institution of Mechanical Engineers,Part E: Journal of Process Mechanical Engineering

Restricted accessResearch articleFirst published April 12, 2021

Research on air pollution system based on neural network

Zhiqi Jiang, Xidong Wang

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology