(redirected from Gaussian process regression)
Also found in: Medical, Encyclopedia.
Category filter:
GPRGround Penetrating Radar
GPRGaussian Process Regression (mathematics)
GPRGeneral Practice Residency (medical training)
GPRGeneral Purpose Registers
GPRGeneral Purpose Register (IBM S/360/370/390)
GPRGround Probing Radar
GPRGrand Pacific Resorts (California)
GPRGround Potential Rise (electrical engineering)
GPRGrade Point Ratio
GPRGovernment of Puerto Rico
GPRGlengarry-Prescott-Russell (Canada)
GPRGoogle Page Rank
GPRGeneral Purpose Reloadable (debit cards)
GPRGovernment Purpose Rights
GPRGeek Public Radio (Internet radio station)
GPRGlobal Posture Review (US DoD)
GPRGesellschaft für Pädiatrische Radiologie
GPRGoddard Procedural Requirement (US NASA)
GPRGram positive rod
GPRGreen Point Rater (training certification)
GPRGross Profit Ratio
GPRGlobal Pirate Radio (online radio)
GPRGroup Product Report (UK)
GPRGlucose Production Rate (biology)
GPRGroupe Permanent Chargé des Réacteurs (French: Standing Group in Charge of Reactors)
GPRGunpowder Residue
GPRGraphical Patient Record
GPRGlobal Position Receiver
GPRGallatin Paranormal Research (Tennessee)
GPRGovernment Plant Representative
GPRGroup Property Representative
GPRGrading Plan Review
GPRGraphical Process Representation
Copyright 1988-2018, All rights reserved.
References in periodicals archive ?
He [13] proposed a two-region learning algorithm, applying improved aggregate channel feature detection and Gaussian process regression to estimate the number of pedestrians.
Wang, "Unscented Particle Filter Based Gaussian Process Regression for IMU/BDS Train Integrated Positioning," in 2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference, pp.
Nearest neighbor (NN) interpolation, nonlocal means (NLM) based upsampling [5], and Gaussian process regression (GPR) based upsampling [19] were employed for comparison.
Section 2, the new section, covers probabilistic aspects, with discussion of non-parametric models, Gaussian process regression, Markov chain Monte Carlo sampling, Gibbs sampling, and extensions to mixture modeling.
Full browser ?