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Subject: Re: Belief propagation algorithm is open sourced
Nice! I am especially interested in Bayesian Networks, which are only one of
the many models that can be expressed by a factor graph representation. Do you
do Bayesian Networks learning at scale (parameters and structure) with latent
Nice! I am especially interested in Bayesian Networks, which are only one
of the many models that can be expressed by a factor graph representation.
Do you do Bayesian Networks learning at scale (parameters and structure)
with latent variables? Are you using publicly available tools for that?
Which
I'll check it out, thanks for sharing Alexander!
On Dec 13, 2016 4:58 PM, "Ulanov, Alexander"
wrote:
> Dear Spark developers and users,
>
>
> HPE has open sourced the implementation of the belief propagation (BP)
> algorithm for Apache Spark, a popular message passing algorithm for
> performing
Dear Spark developers and users,
HPE has open sourced the implementation of the belief propagation (BP)
algorithm for Apache Spark, a popular message passing algorithm for performing
inference in probabilistic graphical models. It provides exact inference for
graphical models without loops. Wh
