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pro vyhledávání: '"Strappa, Yanela"'
Markov networks are extensively used to model complex sequential, spatial, and relational interactions in a wide range of fields. By learning the structure of independences of a domain, more accurate joint probability distributions can be obtained fo
Externí odkaz:
http://arxiv.org/abs/1608.02315
Markov networks are models for compactly representing complex probability distributions. They are composed by a structure and a set of numerical weights. The structure qualitatively describes independences in the distribution, which can be exploited
Externí odkaz:
http://arxiv.org/abs/1407.8088
Publikováno v:
In International Journal of Approximate Reasoning January 2018 92:295-320
