Zobrazeno 1 - 10
of 132
pro vyhledávání: '"Bert de Vries"'
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 195-203 (2024)
Bayesian model reduction provides an efficient approach for comparing the performance of all nested sub-models of a model, without re-evaluating any of these sub-models. Until now, Bayesian model reduction has been applied mainly in the computational
Externí odkaz:
https://doaj.org/article/3bf40b51c4d14a3abb46257d6fa8a780
Publikováno v:
Entropy, Vol 26, Iss 11, p 890 (2024)
This paper presents GraphPPL.jl, a novel probabilistic programming language designed for graphical models. GraphPPL.jl uniquely represents probabilistic models as factor graphs. A notable feature of GraphPPL.jl is its model nesting capability, which
Externí odkaz:
https://doaj.org/article/06c751b46d43423e9fd0feec783d3f7b
Autor:
Zain Awamleh, Sanaa Choufani, Dmitrijs Rots, Alexander Dingemans, Juan Dario Ortigoza Escobar, David Koolen, Bert de Vries, Rosanna Weksberg
Publikováno v:
Genetics in Medicine Open, Vol 2, Iss , Pp 101543- (2024)
Externí odkaz:
https://doaj.org/article/3bc851880b414d4c8ea1fd8bd3963197
Publikováno v:
Entropy, Vol 25, Iss 8, p 1138 (2023)
Bayesian state and parameter estimation are automated effectively in a variety of probabilistic programming languages. The process of model comparison on the other hand, which still requires error-prone and time-consuming manual derivations, is often
Externí odkaz:
https://doaj.org/article/8cf056a91687485e98dcb229729ccc11
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2022)
The Free Energy Principle (FEP) postulates that biological agents perceive and interact with their environment in order to minimize a Variational Free Energy (VFE) with respect to a generative model of their environment. The inference of a policy (fu
Externí odkaz:
https://doaj.org/article/d70aa237da8a44e7bf8307eb51fa5541
Publikováno v:
Frontiers in Signal Processing, Vol 2 (2022)
In this paper we present Active Inference-Based Design Agent (AIDA), which is an active inference-based agent that iteratively designs a personalized audio processing algorithm through situated interactions with a human client. The target application
Externí odkaz:
https://doaj.org/article/db9a171255a542b1accfdca385ed1e9e
Autor:
Marco Cox, Bert de Vries
Publikováno v:
Frontiers in Digital Health, Vol 3 (2021)
Pure-tone audiometry—the process of estimating a person's hearing threshold from “audible” and “inaudible” responses to tones of varying frequency and intensity—is the basis for diagnosing and quantifying hearing loss. By taking a probabi
Externí odkaz:
https://doaj.org/article/de5d50720d6843a4aa532b616edf0a06
Publikováno v:
Network Neuroscience, Vol 1, Iss 4, Pp 381-414 (2017)
This paper considers functional integration in the brain from a computational perspective. We ask what sort of neuronal message passing is mandated by active inference—and what implications this has for context-sensitive connectivity at microscopic
Externí odkaz:
https://doaj.org/article/da9b49edba30452fbef0a0fb4d0856fe
Autor:
Tracy Dudding-Byth, Anne Baxter, Elizabeth G. Holliday, Anna Hackett, Sheridan O’Donnell, Susan M. White, John Attia, Han Brunner, Bert de Vries, David Koolen, Tjitske Kleefstra, Seshika Ratwatte, Carlos Riveros, Steve Brain, Brian C. Lovell
Publikováno v:
BMC Biotechnology, Vol 17, Iss 1, Pp 1-9 (2017)
Abstract Background Massively parallel genetic sequencing allows rapid testing of known intellectual disability (ID) genes. However, the discovery of novel syndromic ID genes requires molecular confirmation in at least a second or a cluster of indivi
Externí odkaz:
https://doaj.org/article/f41c018183714148aa26ab2316eab2a5
Publikováno v:
Entropy, Vol 23, Iss 12, p 1565 (2021)
Active Inference (AIF) is a framework that can be used both to describe information processing in naturally intelligent systems, such as the human brain, and to design synthetic intelligent systems (agents). In this paper we show that Expected Free E
Externí odkaz:
https://doaj.org/article/2accd9315e9d4561b6b489068d39fa18