Decomposed Normalized Maximum Likelihood Codelength Criterion for Selecting Hierarchical Latent Variable Models

Research article (Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2017) · cited 16× · AI/ML
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Decomposed Normalized Maximum Likelihood Codelength Criterion for Selecting Hierarchical Latent Variable Models

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Decomposed Normalized Maximum Likelihood Codelength Criterion for Selecting Hierarchical Latent Variable Models is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Decomposed Normalized Maximum Likelihood Codelength Criterion for Selecting Hierarchical Latent Variable Models. Retrieved May 24, 2026, from https://4ort.xyz/entity/decomposed-normalized-maximum-likelihood-codelength-criterion-for-selecting-hierarchical-latent-variable-models
MLA “Decomposed Normalized Maximum Likelihood Codelength Criterion for Selecting Hierarchical Latent Variable Models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/decomposed-normalized-maximum-likelihood-codelength-criterion-for-selecting-hierarchical-latent-variable-models.
BibTeX @misc{4ortxyz_decomposed-normalized-maximum-likelihood-codelength-criterion-for-selecting-hierarchical-latent-variable-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Decomposed Normalized Maximum Likelihood Codelength Criterion for Selecting Hierarchical Latent Variable Models}}, year = {2026}, url = {https://4ort.xyz/entity/decomposed-normalized-maximum-likelihood-codelength-criterion-for-selecting-hierarchical-latent-variable-models}, note = {Accessed: 2026-05-24}}
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