Work

Large-Scale Nonlinear Variable Selection via Kernel Random Features

Year: 2019

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-030-10928-8_11

Authors: Magda Gregorová, Jason Ramapuram, Alexandros Kalousis, Stéphane Marchand-Maillet

Institutions: University of Geneva, HES-SO University of Applied Sciences and Arts Western Switzerland, HES-SO Genève

Language: English

Topic: Gaussian Processes and Bayesian Inference

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: Université de Genève, Horizon 2020 Framework Programme

OpenAlex ID: W2797974927

FWCI: 0.163

Cites: 41

Cited by: 7

Related to: 10