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Mixed integer programming formulation of unsupervised learning
Published 20 Jan 2020 in cs.LG, cond-mat.dis-nn, and stat.ML | (2001.07278v1)
Abstract: 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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