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A Decomposition Method for Global Evaluation of Shannon Entropy and Local Estimations of Algorithmic Complexity

We investigate the properties of a Block Decomposition Method (BDM), which extends the power of a Coding Theorem Method (CTM) that approximates local estimations of algorithmic complexity based on Solomonoff–Levin’s theory of algorithmic probability providing a closer connection to algorithmic compl...

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Publicat a:Entropy (Basel)
Autors principals: Zenil, Hector, Hernández-Orozco, Santiago, Kiani, Narsis A., Soler-Toscano, Fernando, Rueda-Toicen, Antonio, Tegnér, Jesper
Format: Artigo
Idioma:Inglês
Publicat: MDPI 2018
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7513128/
https://ncbi.nlm.nih.gov/pubmed/33265694
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e20080605
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