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The decomposed normalized maximum likelihood code-length criterion for selecting hierarchical latent variable models

Research article (Data Mining and Knowledge Discovery, 2019) · cited 24× · AI/ML
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The decomposed normalized maximum likelihood code-length criterion for selecting hierarchical latent variable models

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The decomposed normalized maximum likelihood code-length criterion for selecting hierarchical latent variable models is a scholarly article[1].

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  • The decomposed normalized maximum likelihood code-length criterion for selecting hierarchical latent variable models's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). The decomposed normalized maximum likelihood code-length criterion for selecting hierarchical latent variable models. Retrieved May 24, 2026, from https://4ort.xyz/entity/the-decomposed-normalized-maximum-likelihood-code-length-criterion-for-selecting-hierarchical-latent-variable-models
MLA “The decomposed normalized maximum likelihood code-length criterion for selecting hierarchical latent variable models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/the-decomposed-normalized-maximum-likelihood-code-length-criterion-for-selecting-hierarchical-latent-variable-models.
BibTeX @misc{4ortxyz_the-decomposed-normalized-maximum-likelihood-code-length-criterion-for-selecting-hierarchical-latent-variable-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The decomposed normalized maximum likelihood code-length criterion for selecting hierarchical latent variable models}}, year = {2026}, url = {https://4ort.xyz/entity/the-decomposed-normalized-maximum-likelihood-code-length-criterion-for-selecting-hierarchical-latent-variable-models}, note = {Accessed: 2026-05-24}}
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