Open AccessDinTucker: Scaling Up Gaussian Process Models on Large Multidimensional Arrays
Author(s) -
Shandian Zhe,
Yuan Qi,
Youngja Park,
Zenglin Xu,
Ian Molloy,
Suresh T. Chari
Publication year - 2016
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.v30i1.10222
Subject(s) - computer science , multilinear map , gaussian process , scalability , inference , tucker decomposition , algorithm , tensor (intrinsic definition) , matrix decomposition , bayesian probability , bayesian inference , artificial intelligence , machine learning , gaussian , tensor decomposition , mathematics , eigenvalues and eigenvectors , physics , quantum mechanics , database , pure mathematics
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