z-logo
open-access-imgOpen Access
Learning GP-BayesFilters via Gaussian process latent variable models
Author(s) -
Jonathan Ko,
D. Fox
Publication year - 2009
Language(s) - Uncategorized
Resource type - Conference proceedings
DOI - 10.15607/rss.2009.v.029
Subject(s) - latent variable , gaussian process , computer science , variable (mathematics) , process (computing) , artificial intelligence , latent variable model , probabilistic latent semantic analysis , gaussian , machine learning , mathematics , physics , quantum mechanics , mathematical analysis , operating system

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom