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Jerkmate
https://danmackinlay.name/notebook/gp_incremental.html
Gaussian process inference by partial updates — The Dan MacKinlay stable of...
Wherein Gaussian process inference is examined by partial updates, subsampling observations and sites is considered, and Wasserstein and Sinkhorn bounds for...
dan mackinlay stablegaussian processinferencepartialupdates
https://www.semanticscholar.org/search?q=OFAI-UKP+at+HAHA%40IberLEF2019%3A+Predicting+the+Humorousness+of+Tweets+Using+Gaussian+Process+Preference+Learning.
OFAI-UKP at HAHA@IberLEF2019: Predicting the Humorousness of Tweets Using Gaussian Process...
An academic search engine that utilizes artificial intelligence methods to provide highly relevant results and novel tools to filter them with ease.
using gaussian processofaiukphahapredicting
https://www.deisenroth.cc/publication/eleftheriadis-2017-a/
Identification of Gaussian Process State Space Models | Marc Deisenroth
Jan 1, 2017 - The Gaussian process state space model (GPSSM) is a non-linear dynamical system, where unknown transition and/or measurement mappings are described by GPs....
state space modelsgaussian processmarc deisenrothidentification
https://link.springer.com/book/10.1007/978-3-319-21021-6?error=cookies_not_supported&code=509e59ac-292f-452a-88e9-1e66b210a165
Modelling and Control of Dynamic Systems Using Gaussian Process Models | Springer Nature Link
This monograph opens up new horizons for engineers and researchers in academia and in industry dealing with or interested in new developments in the field of...
using gaussian processdynamic systemsspringer naturemodellingcontrol
https://link.springer.com/book/10.1007/978-3-319-21021-6?error=cookies_not_supported&code=286daabd-cee1-401b-8bdd-a39e43dcab9f
Modelling and Control of Dynamic Systems Using Gaussian Process Models | Springer Nature Link
This monograph opens up new horizons for engineers and researchers in academia and in industry dealing with or interested in new developments in the field of...
using gaussian processdynamic systemsspringer naturemodellingcontrol
https://gaussianprocess.org/
Welcome to the Gaussian Process pages | the Gaussian Process web site
This web site aims to provide an overview of resources concerned with probabilistic modeling, inference and learning based on Gaussian processes.
gaussian processpages webwelcomesite
https://d2l.ai/chapter_gaussian-processes/gp-inference.html
18.3. Gaussian Process Inference — Dive into Deep Learning 1.0.3 documentation
deep learning 118 3gaussian process0 documentationinference
https://danmackinlay.name/notebook/gp_quantile_regression.html
Gaussian process quantile regression — The Dan MacKinlay stable of variably-well-consider’d...
Wherein a procedure for predicting a chosen conditional quantile is presented, under an asymmetric pinball loss, and Gaussian process priors are used to model...
dan mackinlay stablegaussian processvariably wellquantileregression
https://cran.r-universe.dev/GpGp
GpGp: Fast Gaussian Process Computation Using Vecchia's Approximation
gaussian processcomputation usingfastvecchiaapproximation
https://arxiv.org/abs/1512.03929
[1512.03929] Quantum assisted Gaussian process regression
Abstract page for arXiv paper 1512.03929: Quantum assisted Gaussian process regression
gaussian process1512quantumassistedregression
https://www.projectpro.io/project-use-case/gaussian-time-series-models-deployment-on-aws
CI/CD Deployment of Gaussian Process Time Series Models
Build and deploy Gaussian Process Time Series models on AWS with Terraform and CI/CD to scale ML workflows with secure, cost-effective containerized...
time series modelsci cdgaussian processdeployment