Open AccessSum-Product Autoencoding: Encoding and Decoding Representations Using Sum-Product Networks
Author(s) -
Antonio Vergari,
Robert Peharz,
Nicola Di Mauro,
Alejandro Molina,
Kristian Kersting,
Floriana Esposito
Publication year - 2018
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.v32i1.11734
Subject(s) - autoencoder , embedding , inference , product (mathematics) , decoding methods , computer science , categorical variable , encoding (memory) , representation (politics) , probabilistic logic , artificial intelligence , encode , deep learning , pattern recognition (psychology) , theoretical computer science , machine learning , mathematics , algorithm , biochemistry , chemistry , geometry , politics , political science , law , gene
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