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Results tagged with graphical-model
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user 3293
Also called Probabilistic Graphical Model, used for statistical models expressed via graphs, causal or not. (Nb, "graph" as in graph theory, *not* as in figure or plot).
2
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Probabilistic Logical Graphical models like Markov Logic networks etc
They are first-order models in the sense that you can use variables (not random variables!) and predicates to declare your model. This is basically the same as template models (such as dynamic Bayesia …
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2
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Bayesian network to factor graph
A factor graph is a bipartite graph with variable and factor nodes. So adjacent to variable nodes should be only factor nodes and vice versa. Also by convention, variables are drawn with circles and f …
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2
votes
1
answer
332
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Does a Bayesian network include the CPTs?
I'm preparing slides for a lecture, and I require some guidance.
I'm only talking about discrete variables.
How would you formally define the concepts surrounding Bayesian networks?
A Bayesian net …
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1
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What are the general strategies in creating a Probabilistic Graphical Model?
Your best bet would be reading research papers that use those models for some task. I assume that this task will most often be classification.
I know of one book about applications of BNs:
Bayesian …
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3
votes
Accepted
The meaning of convergence in Variational Inference?
At least for (loopy) Belief Propagation (BP), the formula used to compute the partition function only holds at the convergence point. Note that in the following I'm talking about BP and the Bethe appr …
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