Semi-supervised Learning with Deep Generative Models. Kingma, D. P, Mohamed, S., Rezende, D. J., & Welling, M. , 2014. abstract bibtex Abstract The ever-increasing size of modern data sets combined with the difficulty of obtaining label information has made semi-supervised learning one of the problems of significant practical importance in modern data analysis. We revisit the approach to semi-.
@Article{Kingma2014,
author = {Kingma, Diederik P and Mohamed, Shakir and Rezende, Danilo Jimenez and Welling, Max},
title = {Semi-supervised Learning with Deep Generative Models},
journal = {},
volume = {},
number = {},
pages = {3581--3589},
year = {2014},
abstract = {Abstract The ever-increasing size of modern data sets combined with the difficulty of obtaining label information has made semi-supervised learning one of the problems of significant practical importance in modern data analysis. We revisit the approach to semi-.},
location = {},
keywords = {}}
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