hierarchical bayesian model造句
造句與例句
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- Simple Na飗e Bayes model and hierarchical Bayesian models are discussed.
- This distribution plays an important role in hierarchical Bayesian models, because when doing article on this distribution for more details.
- Multilevel models are a subclass of hierarchical Bayesian models, which are general models with multiple levels of random variables and arbitrary relationships among the different variables.
- In Bayesian mixture models and other hierarchical Bayesian models with mixture components, Dirichlet distributions are commonly used as the prior distributions for the applications below for more information.
- Inference over hierarchical Bayesian models is often done using Gibbs sampling, and in such a case, instances of the Dirichlet distribution are typically marginalized out of the model by integrating out the Dirichlet random variable.
- For example, in a Dirichlet-multinomial distribution, which arises commonly in natural language processing models ( although not usually with this name ) as a result of collapsed Gibbs sampling where Dirichlet distributions are collapsed out of a hierarchical Bayesian model, it is very important to distinguish categorical from multinomial.
- It's difficult to see hierarchical bayesian model in a sentence. 用hierarchical bayesian model造句挺難的
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