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pro vyhledávání: '"Samuel T Wauthier"'
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 4, p 045012 (2024)
Tensor networks (TNs) have seen an increase in applications in recent years. While they were originally developed to model many-body quantum systems, their usage has expanded into the field of machine learning. This work adds to the growing range of
Externí odkaz:
https://doaj.org/article/e218d5bc7ace40578a852451fdf95f8c
Publikováno v:
Frontiers in Neurorobotics, Vol 16 (2022)
Although still not fully understood, sleep is known to play an important role in learning and in pruning synaptic connections. From the active inference perspective, this can be cast as learning parameters of a generative model and Bayesian model red
Externí odkaz:
https://doaj.org/article/0d96a3c0f5af45b5bbefdebd983bafd3
Publikováno v:
Frontiers in Neurorobotics; 3/11/2022, Vol. 16, p1-16, 16p
Autor:
Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Noor Sajid, Hideaki Shimazaki, Tim Verbelen
This volume constitutes the papers of the 3rd International Workshop on Active Inference, IWAI 2022, held in Grenoble, France, in conjunction with ECML/PKDD, on September 19, 2022.The 25 revised full papers presented in this book were carefully revie
This book constitutes the refereed proceedings of the First International Workshop on Active Inference, IWAI 2020, co-located with ECML/PKDD 2020, held in Ghent, Belgium, in September 2020. The 13 full papers along with 6 short papers were thorou