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open-access-imgOpen AccessAuto-encoder with Adversarially Regularized Latent Variables for Semi-Supervised Learning
Author(s)
Ryosuke O. Tachibana,
Takashi Matsubara,
Kuniaki Uehara
Publication year2017
Publication title
information engineering express
Resource typeJournals
PublisherInternational Institute of Applied Informatics
Subject(s)adversarial system , artificial intelligence , artificial neural network , benchmark (surveying) , computer science , deep learning , encoder , generative grammar , geodesy , geography , labeled data , latent variable , machine learning , mnist database , operating system , pattern recognition (psychology) , programming language , raw data , regularization (linguistics) , semi supervised learning , supervised learning
Language(s)English
eISSN2185-9892
pISSN2185-9884
DOI10.52731/iee.v3.i3.172

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