Mixed integer programming formulation of unsupervised learning

arxiv（2020）

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摘要

A novel formulation and training procedure for full Boltzmann machines in terms of a mixed binary quadratic feasibility problem is given. As a proof of concept, the theory is analytically and numerically tested on XOR patterns.

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关键词

mixed integer programming formulation,unsupervised learning

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