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Learning Non-Stationary Space-Time Models for Environmental Monitoring
Author(s) -
Sahil Garg,
Amarjeet Singh,
Fábio Ramos
Publication year - 2021
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.v26i1.8166
Subject(s) - computer science , gaussian process , space (punctuation) , process (computing) , space time , environmental monitoring , variable (mathematics) , scale (ratio) , spacetime , machine learning , artificial intelligence , data mining , gaussian , environmental science , mathematics , geography , engineering , mathematical analysis , physics , cartography , quantum mechanics , chemical engineering , environmental engineering , operating system

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