Regression

Understanding the Limitations of CNN-Based Absolute Camera Pose Regression

Torsten Sattler, Qunjie Zhou, Marc Pollefeys, Laura Leal-Taixé

Citations: 401 • 2019

Model Learning with Local Gaussian Process Regression

Duy Nguyen-Tuong, Matthias Seeger, Jan Peters

Citations: 322 • 2009

Manifold Gaussian Processes for regression

Roberto Calandra, Jan Peters, Carl Edward Rasmussen, Marc Peter Deisenroth

Citations: 214 • 2016

Reinforcement learning by reward-weighted regression for operational space control

Jan Peters, Stefan Schaal

Citations: 184 • 2007

Learning radio maps for UAV-aided wireless networks: A segmented regression approach

Junting Chen, Uday Yatnalli, David Gesbert

Citations: 167 • 2017

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

CamNet: Coarse-to-Fine Retrieval for Camera Re-Localization

Mingyu Ding, Zhe Wang, Jiankai Sun, Jianping Shi, Ping Luo

Citations: 138 • 2019

The Total Least Squares Problem: Computational Aspects and Analysis (S. Van Huffel and J. Vandewalle)

Ricardo D. Fierro

Citations: 132 • 1993

Local Gaussian Process Regression for Real Time Online Model Learning

Duy Nguyen-Tuong, Jan Peters, Matthias Seeger

Citations: 121 • 2008

Batch Continuous-Time Trajectory Estimation as Exactly Sparse Gaussian Process Regression

Tim Barfoot, Chi Hay Tong, Simo Särkkä

Citations: 117 • 2014

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

Experimental Evaluation of Identification Schemes on a Direct Drive Robot

Fernando Reyes, Rafael Kelly

Citations: 113 • 1997

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

GMR-RRT*: Sampling-Based Path Planning Using Gaussian Mixture Regression

Jiankun Wang, Tingguang Li, Baopu Li, Max Q.‐H. Meng

Citations: 103 • 2022

Nonstationary Gaussian Process Regression Using Point Estimates of Local Smoothness

Christian Plagemann, Kristian Kersting, Wolfram Burgard

Citations: 94 • 2008

Support vector regression for black-box system identification

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

Citations: 91 • 2002

A Machine Learning Approach to Predicting Case Duration for Robot-Assisted Surgery

Beiqun Zhao, Ruth S. Waterman, Richard D. Urman, Rodney A. Gabriel

Citations: 91 • 2019

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

Duy Nguyen-Tuong, Jan Peters, Matthias Seeger

Citations: 88 • 2008