z-logo
open-access-imgOpen Access
Accurate and Scalable Gaussian Processes for Fine-Grained Air Quality Inference
Author(s) -
Zeel B Patel,
Palak Purohit,
Harsh Patel,
Shivam Sahni,
Nipun Batra
Publication year - 2022
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v36i11.21467
Subject(s) - leverage (statistics) , computer science , interpolation (computer graphics) , air quality index , inference , kernel (algebra) , scalability , gaussian , gaussian process , smoothness , grid , data mining , machine learning , artificial intelligence , mathematics , meteorology , geography , motion (physics) , mathematical analysis , physics , geometry , combinatorics , database , quantum mechanics

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