Algorithmic Free Energy Minimization: A New Foundation for Parsimonious Artificial Intelligence

Fuente: Zenodo

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Bibliographic Details
Main Author:	Fathi, Kevin
Format:	Recurso digital
Language:	English
Published:	Zenodo 2025
Subjects:	Algorithmic free energy Kolmogorov complexity Algorithmic information theory Minimum description length PAC-Bayesian bounds Generalization error Universal prior STOP completion Variational free energy Occam's razor Parsimonious artificial intelligence Model complexity Description length Sample complexity Computable free energy Compression-based learning Bayesian inference Deep learning theory
Online Access:	Acceder al recurso
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