Regression analysis

Model Learning with Local Gaussian Process Regression

Duy Nguyen-Tuong, Matthias Seeger, Jan Peters

Citations: 322 • 2009

Semiparametric Latent Factor Models

Yee Whye Teh, Matthias Seeger, Michael I. Jordan

Citations: 202 • 2005

Reinforcement learning by reward-weighted regression for operational space control

Jan Peters, Stefan Schaal

Citations: 184 • 2007

Using model knowledge for learning inverse dynamics

Duy Nguyen-Tuong, Jan Peters

Citations: 176 • 2010

Computed torque control with nonparametric regression models

Duy Nguyen-Tuong, Matthias Seeger, Jan Peters

Citations: 151 • 2008

Local Gaussian process regression for real-time model-based robot control

Duy Nguyen-Tuong, Jan Peters

Citations: 144 • 2008

Priorities of training of digital personnel for industry 4.0: social competencies vs technical competencies

Elena G. Popkova, Kristina V. Zmiyak

Citations: 134 • 2019

Local Gaussian Process Regression for Real Time Online Model Learning

Duy Nguyen-Tuong, Jan Peters, Matthias Seeger

Citations: 121 • 2008

Experimental Evaluation of Identification Schemes on a Direct Drive Robot

Fernando Reyes, Rafael Kelly

Citations: 113 • 1997

Influential factors of carbon emissions intensity in OECD countries: Evidence from symbolic regression

Xiongfeng Pan, Md. Kamal Uddin, Bowei Ai, Xianyou Pan, Umme Saima

Citations: 113 • 2019

Using locally weighted regression for robot learning

Christopher G. Atkeson

Citations: 109 • 2002

Use of machine learning to predict early biochemical recurrence after robot‐assisted prostatectomy

Nathan C. Wong, Cameron J. Lam, Lisa Patterson, Bobby Shayegan

Citations: 103 • 2018

A study on prediction of bead height in robotic arc welding using a neural network

I.S Kim, Joon Sik Son, C.E Park, C.W Lee

Citations: 101 • 2002

Support vector regression for black-box system identification

Arthur Gretton, Randal Douc, Ralf Herbrich, P. J. Rayner, Bernhard Schölkopf

Citations: 91 • 2002

Local Gaussian process regression for real time online model learning and control

Duy Nguyen-Tuong, Jan Peters, Matthias Seeger

Citations: 88 • 2008

Incremental online sparsification for model learning in real-time robot control

Duy Nguyen-Tuong, Jan Peters

Citations: 73 • 2011

Learning Inverse Dynamics: A Comparison

Duy Nguyen-Tuong, Jan Peters, Matthias Seeger, Bernhard Schölkopf

Citations: 65 • 2008

Forecasting respiratory motion with accurate online support vector regression (SVRpred)

Floris Ernst, Achim Schweikard

Citations: 62 • 2009

Non-parametric Regression Between Manifolds

Florian Steinke, Matthias Hein

Citations: 56 • 2008

Active Preference-Based Gaussian Process Regression for Reward Learning

Erdem Bıyık, Nicolas Huynh, Mykel J. Kochenderfer, Dorsa Sadigh

Citations: 54 • 2020