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Found 4 papers, 0 papers with code
A Variational Approach to Parameter Estimation for Characterizing 2-D Cluster Variation Method Topographies
Further, the corresponding configuration variable values for the (free energy-minimized) model patterns are in approximate alignment with the analytically-predicted values.
2-D Cluster Variation Method Free Energy: Fundamentals and Pragmatics
Despite being invented in 1951 by R. Kikuchi, the 2-D Cluster Variation Method (CVM), has not yet received attention.
Derivation of the Variational Bayes Equations
The derivation of key equations for the variational Bayes approach is well-known in certain circles.
Free Energy Minimization Using the 2-D Cluster Variation Method: Initial Code Verification and Validation
A new approach for general artificial intelligence (GAI), building on neural network deep learning architectures, can make use of one or more hidden layers that have the ability to continuously reach a free energy minimum even after input stimulus is removed, allowing for a variety of possible behaviors.
