2020/01/20 by Arturo Berrones, Arturo Berrones-Santos, Berrones-Santos, Arturo
Computer Science · Mathematics · Physics and Astronomy · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Neural Networks and Applications #Statistical Mechanics and Entropy #cond-mat.dis-nn #cs.LG #stat.ML
paper · pdf · doi:10.48550/arxiv.2001.07278
arxiv created 2020/01/20 · openalex publication_date 2020/01/20 · arxiv updated 2020/01/22 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.