Gaussian Processes and Bayesian Inference
Gaussian Processes and Bayesian Inference is a topic indexed in ScholarIQ from OpenAlex.
What is known about Gaussian Processes and Bayesian Inference?
This cluster of papers focuses on the application of Gaussian Processes in machine learning, covering topics such as variational inference, sparse regression, Bayesian inference, deep learning, and probabilistic models. It also explores the use of Gaussian Processes for nonparametric methods, time series modelling, and handling big data.
How many works does Gaussian Processes and Bayesian Inference have?
Gaussian Processes and Bayesian Inference has 24,898 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
How many citations does Gaussian Processes and Bayesian Inference have?
Gaussian Processes and Bayesian Inference has 373,994 citations in the OpenAlex counts ScholarIQ stores.
What is the OpenAlex record for Gaussian Processes and Bayesian Inference?
The OpenAlex for Gaussian Processes and Bayesian Inference is on the source record.