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pro vyhledávání: '"Gabriel Provencher Langlois"'
Publikováno v:
Entropy, Vol 26, Iss 8, p 691 (2024)
Maximum entropy (MaxEnt) models are a class of statistical models that use the maximum entropy principle to estimate probability distributions from data. Due to the size of modern data sets, MaxEnt models need efficient optimization algorithms to sca
Externí odkaz:
https://doaj.org/article/0e6d21466c874ab8bd20eb5b8ce2e65f