Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
Low-rank attention augmented Gaussian processes for multivariate data analysis
Low-rank attention augmented Gaussian processes for multivariate data analysis
Fuente:
Zenodo
Saved in:
Bibliographic Details
Main Author:
Oyebamiji, Oluwole
Format:
Recurso digital
Published:
Zenodo
2025
Subjects:
Low rank approximation
Gaussian process
Transformer
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Description
Description not available.
Similar Items
Data for the publication: Efficient low-rank model order reduction of vibroacoustic problems under stochastic loads
by: Hüpel, Yannik
Published: (2025)
A Gaussian process approach facilitates the identification of robust biomarkers for exposure to complex pesticide mixtures
by: Bakker, Ruben, et al.
Published: (2025)
Interpolation of paleoclimatology datasets
by: Luis E. Nieto-Barajas
Published: (2018)
A comparative study of forecasting methods using real-life econometric series data
by: Cláudia Eliane da Matta
Published: (2021)
Accelerating the computation of the volume of tissue activated during deep brain stimulation using Gaussian processes
by: Iván De La Pava Panche
Published: (2017)