Decomposed Normalized Maximum Likelihood Codelength Criterion for Selecting Hierarchical Latent Variable Models
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Tianyi Wu, Shinya Sugawara, Kenji Yamanishi
Decomposed Normalized Maximum Likelihood Codelength Criterion for Selecting Hierarchical Latent Variable Models
KDD, 2017.

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@inproceedings{KDD-2017-WuSY,
	author        = "Tianyi Wu and Shinya Sugawara and Kenji Yamanishi",
	booktitle     = "{Proceedings of the 23rd International Conference on Knowledge Discovery and Data Mining}",
	doi           = "10.1145/3097983.3098110",
	isbn          = "978-1-4503-4887-4",
	pages         = "1165--1174",
	publisher     = "{ACM}",
	title         = "{Decomposed Normalized Maximum Likelihood Codelength Criterion for Selecting Hierarchical Latent Variable Models}",
	year          = 2017,
}

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