Reverse engineering of modified genes by Bayesian network analysis defines molecular determinants critical to the development of glioblastoma. [PDF]
In this study we have identified key genes that are critical in development of astrocytic tumors. Meta-analysis of microarray studies which compared normal tissue to astrocytoma revealed a set of 646 differentially expressed genes in the majority of ...
Brian W Kunkle +2 more
doaj +1 more source
Some Interesting Observations on the Free Energy Principle
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 +2 more
doaj +1 more source
Causal Learner: A Toolbox for Causal Structure and Markov Blanket Learning [PDF]
Causal Learner is a toolbox for learning causal structure and Markov blanket (MB) from data. It integrates functions for generating simulated Bayesian network data, a set of state-of-the-art global causal structure learning algorithms, a set of state-of ...
Zhaolong Ling +4 more
semanticscholar +1 more source
Joint Markov Blankets in Feature Sets Extracted from Wavelet Packet Decompositions
Since two decades, wavelet packet decompositions have been shown effective as a generic approach to feature extraction from time series and images for the prediction of a target variable.
Gert Van Dijck, Marc M. Van Hulle
doaj +1 more source
The Markov blankets of life: autonomy, active inference and the free energy principle [PDF]
This work addresses the autonomous organization of biological systems. It does so by considering the boundaries of biological systems, from individual cells to Home sapiens, in terms of the presence of Markov blankets under the active inference scheme—a ...
Kirchhoff, Michael David
core +1 more source
Causal surgery under a Markov blanket
Bruineberg et al provide compelling clarity on the roles Markov blankets could (and perhaps should) play in the study of life and mind. However, here we draw attention to a further role blankets might play: as a hypothesis about cognition itself. People and other animals may use blanket-like representations to model the boundary between themselves ...
Daniel Yon, Philip Robert Corlett
openaire +3 more sources
A probabilistic model for information and sensor validation [PDF]
This paper develops a new theory and model for information and sensor validation. The model represents relationships between variables using Bayesian networks and utilizes probabilistic propagation to estimate the expected values of variables.
Ibargüengoytia, PH +2 more
core +2 more sources
Online Markov Blanket Learning with Group Structure
Bo Li +5 more
semanticscholar +2 more sources
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]
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
The IBMAP approach for Markov networks structure learning [PDF]
In this work we consider the problem of learning the structure of Markov networks from data. We present an approach for tackling this problem called IBMAP, together with an efficient instantiation of the approach: the IBMAP-HC algorithm, designed for ...
Alejandro Edera +20 more
core +2 more sources

