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Information Bottleneck Analysis by a Conditional Mutual Information Bound

Task-nuisance decomposition describes why the information bottleneck loss [Formula: see text] is a suitable objective for supervised learning. The true category y is predicted for input x using latent variables z. When n is a nuisance independent from y, [Formula: see text] can be decreased by reduc...

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Detalles Bibliográficos
Autores principales: Tezuka, Taro, Namekawa, Shizuma
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8391358/
https://www.ncbi.nlm.nih.gov/pubmed/34441114
http://dx.doi.org/10.3390/e23080974

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