Wednesday, 15 January 2014

artificial intelligence - How to create a joint probability table from existing conditioinal probability tables? (CPTs) -



artificial intelligence - How to create a joint probability table from existing conditioinal probability tables? (CPTs) -

i have next tables ,with dependencies below :

and want create joint-probability table p(m,p,w,b) , looks (and of course of study ,you can assume below table is not given me , taken reply question) :

can please explain how can create joint probability table p(m,p,w,b) ?

much appreciate

the joint probability p(m,p,w,b) product of entries of other tables. wikipedia:

x bayesian network respect g if joint probability density function (with respect product measure) can written product of individual density functions, conditional on parent variables:

where pa(v) set of parents of v (i.e. vertices pointing straight v via single edge).

artificial-intelligence probability bayesian bayesian-networks probability-theory

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