Machine learning of quantum phase transitions
نویسندگان
چکیده
منابع مشابه
Phase Transitions in Machine Learning
Phase transitions typically occur in combinatorial computational problems and have important consequences, especially with the current spread of statistical relational learning and of sequence learning methodologies. In Phase Transitions in Machine Learning the authors begin by describing in detail this phenomenon and the extensive experimental investigation that supports its presence. They the...
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ion, 338 animal visual system, 314 aromatic rings, 340 asymptotic behavior, 85–86, 213 attractor, 147, 236, 314, 317 avalanche process, 324 Avogadro number, 16 Axelrod model, 307 backbone, 60–61 backdoor, 61–64 batch setting, 94 Bayes’ decision rule, 95 Bayes error, 95 Bethe lattice, 39 bifurcations, 317 blind spot, 231, 329, 333 Boltzman constant, 19 boolean algebra, 169 attribute, 169 express...
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ژورنال
عنوان ژورنال: Physical Review B
سال: 2019
ISSN: 2469-9950,2469-9969
DOI: 10.1103/physrevb.99.121104