A fast and accurate algorithm for inferring sparse Ising models via parameters activation to maximize the pseudo-likelihood

31 Jan 2019Silvio FranzFederico Ricci-TersenghiJacopo Rocchi

We propose a new algorithm to learn the network of the interactions of pairwise Ising models. The algorithm is based on the pseudo-likelihood method (PLM), that has already been proven to efficiently solve the problem in a large variety of cases... (read more)

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