Table of Contents
Entropy, Volume 20, Issue 10 (October 2018)
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Cover Story (view full-size image) By studying the stochastic complexity of spin models with interactions of an arbitrary order, we [...] Read more. By studying the stochastic complexity of spin models with interactions of an arbitrary order, we find that the simplicity of a model is not determined by the order of the interactions, but rather by their mutual arrangements. As in physics, simple models allow predictions that are easy to falsify. On the contrary, models that are often used in statistical learning, appear to be highly complex, because of their extended set of interactions, and difficult to falsify. View this paper.