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Some Interesting Observations on the Free Energy Principle

Entropy, 2021
Biehl et al. (2021) present some interesting observations on an early formulation of the free energy principle. We use these observations to scaffold a discussion of the technical arguments that underwrite the free energy principle.
Karl J. Friston, Lancelot Da Costa, Thomas Parr   +2 more
doaj   +1 more source

Online Markov Blanket Learning with Group Structure

Intelligent Automation & Soft Computing, 2023
Bo Li, Zhaolong Ling, Yiwen Zhang, Yong Zhou, Yi-Min Hu, H. Ling   +5 more
semanticscholar   +2 more sources

Authentication of ST25 rice using temperature-perturbed Raman measurement with variable selection by Incremental Association Markov Blanket.

Food Chemistry, 2023
A temperature-perturbed transmission Raman measurement was demonstrated for the discrimination of ST25 and non-ST25 rice samples. ST25 rice is a premium long-grain Vietnamese rice with the aroma of pandan leaves and the scent of early sticky rice.
Thu Thuy Bui, Seongsoo Jeong, H. Jeong, Giang Truong Le, Hoa Quynh Nguyen, Hoeil Chung   +5 more
semanticscholar   +1 more source

Knitting a Markov Blanket is Hard When You are Out-of-Equilibrium: Two Examples in Canonical Nonequilibrium Models [PDF]

International Workshop on Affective Interactions, 2022
Bayesian theories of biological and brain function speculate that Markov blankets (a conditional independence separating a system from external states) play a key role for facilitating inference-like behaviour in living systems.
Miguel Aguilera, Ángel Poc-López, Conor Heins, C. Buckley   +3 more
semanticscholar   +1 more source

One person's modus ponens…: Comment on "The Markov blanket trick: On the scope of the free energy principle and active inference" by Raja and colleagues (2021). [PDF]

Physics of Life Reviews, 2022
In this comment on"The Markov blanket trick: On the scope of the free energy principle and active inference"by Raja and colleagues (2021) in Physics of Life Reviews, I argue that the argument presented by the authors is valid; however, I claim that the ...
M. Ramstead
semanticscholar   +1 more source

Identifying risk factors of developing type 2 diabetes from an adult population with initial prediabetes using a Bayesian network

Frontiers in Public Health, 2023
BackgroundIt is known that people with prediabetes increase their risk of developing type 2 diabetes (T2D), which constitutes a global public health concern, and it is associated with other diseases such as cardiovascular disease.MethodsThis study aimed ...
Pilar Fuster-Parra, Pilar Fuster-Parra, Aina M. Yañez, Aina M. Yañez, Aina M. Yañez, Arturo López-González, Arturo López-González, A. Aguiló, A. Aguiló, Miquel Bennasar-Veny, Miquel Bennasar-Veny, Miquel Bennasar-Veny   +11 more
doaj   +1 more source

Critique of: “A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery” by SCC Team From UC San Diego

IEEE Transactions on Parallel and Distributed Systems, 2023
Bayesian networks (BNs) have become popular in recent years to describe natural phenomena in situations where causal linkages are important to understand. In order to get around the inherent non-tractability of learning BNs, Srivastava et al.
Aruna K. Gupta, Jun-Li Ge, John Li, Zihao Kong, Kaiwen He, Matthew Mikhailov, Bryan Chin, Xiaochen Li, Maximilliam Apodaca, Paul Rodriguez, Mahidar Tatineni, Mary P. Thomas, S. Bhatt   +12 more
semanticscholar   +1 more source

Who tailors the blanket?

, 2022
The gap between the Markov blanket and ontological boundaries arises from the former’s inability to capture the dynamic process through which biological and cognitive agents actively generate their own boundaries with the environment. Active inference in
Kengo Miyazono, Katsunori Miyahara, Keisuke Suzuki   +2 more
core   +1 more source

Directed acyclic graphs and causal thinking in clinical risk prediction modeling

BMC Medical Research Methodology, 2020
Background In epidemiology, causal inference and prediction modeling methodologies have been historically distinct. Directed Acyclic Graphs (DAGs) are used to model a priori causal assumptions and inform variable selection strategies for causal questions.
Marco Piccininni, Stefan Konigorski, Jessica L. Rohmann, Tobias Kurth   +3 more
doaj   +1 more source

Counting Markov Blanket Structures

CoRR, 2014
5 pages, 2 figures, 1 ...
Shyam Visweswaran, Gregory F. Cooper
openaire   +3 more sources