z-logo
open-access-imgOpen Access
Non-Linear Regression for Bag-of-Words Data via Gaussian Process Latent Variable Set Model
Author(s) -
Yuya Yoshikawa,
Tomoharu Iwata,
Hiroshi Sawada
Publication year - 2015
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - Uncategorized
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v29i1.9615
Subject(s) - gaussian process , latent variable , kernel (algebra) , mathematics , artificial intelligence , moment (physics) , covariance , pattern recognition (psychology) , computer science , latent variable model , linear regression , kernel regression , gaussian , regression , statistics , physics , classical mechanics , quantum mechanics , combinatorics

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