Kirali posted on 01-30-2011 3:19 PM
Hi,
I am new to infer.net, I am wondering if infer.net is the best tool to solve my needs. I have a bayesian network with 10 nodes. Each node has categorical values, with number of values ranging from 25 to 500. I am currently using Kevin Murphy's BNT to
learn the Maximum Likelihood parameters (for the conditional probability tables). I am currently doing Gibbs sampling in BNT. But it is too slow for my purpose. I am wondering if infer.net can be used for this purpose?
Thanks for your time in advance.
Kirali