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Learning Compact Representations of Time-Varying Processes
Author(s) -
Philip Bachman,
Doina Precup
Publication year - 2011
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.v25i1.8061
Subject(s) - dimension (graph theory) , dimensionality reduction , reduction (mathematics) , point (geometry) , computer science , series (stratigraphy) , space time , estimation , algorithm , space (punctuation) , time point , time series , spacetime , mathematics , artificial intelligence , machine learning , paleontology , philosophy , geometry , aesthetics , chemical engineering , pure mathematics , engineering , biology , operating system , physics , management , quantum mechanics , economics

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