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A method for quantifying the generalization capabilities of generative models for solving Ising models.
Qunlong Ma
Zhi Ma
Ming Gao
Published in:
Mach. Learn. Sci. Technol. (2024)
Keyphrases
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probabilistic model
generative model
prior knowledge
generalization capabilities
bayesian framework
graphical models
mixture model
em algorithm
neural network
parameter estimation
maximum entropy principle
data sets
pairwise
pattern recognition
learning algorithm
machine learning
learned models