Work

Learning with deep Gaussian processes and homothety in weather simulation

Year: 2022

Type: article

Source: Neural Computing and Applications

DOI: 10.1007/s00521-022-07386-z

Authors: Lassana Coulibaly, Cheick Abdoul Kadir A. Kounta, Bernard Kamsu-Foguem, Fana Tangara

Institutions: École Nationale d'Ingénieurs de Tarbes, Institut National Polytechnique de Toulouse, Université des Sciences, des Techniques et des Technologies de Bamako, Laboratoire Génie de Production

Language: English

Topic: Gaussian Processes and Bayesian Inference

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Climate action

Open Access status: closed

OpenAlex ID: W4281677941

FWCI: 0.268

Cites: 25

Cited by: 4

Related to: 10