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By dotCore
via izbicki.me
Submitted: May 10 2013 / 00:58

In this post, we’re going to look at how to manipulate multivariate distributions in Haskell’s HLearn library.  There are many ways to represent multivariate distributions, but we’ll use a technique called Markov networks.  These networks have the algebraic structure called a monoid (and group and vector space), and training them is a homomorphism.
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