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This repository has been archived by the owner on Dec 22, 2021. It is now read-only.
Online learning
Exact inference for small domains Specification of probabilities instead of weights for formulas in an MLN, and of probabilities for ground atoms in a database
Decision Theory
More extensive documentation
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is there any way to convert the weights somehow to like probabilities for formulas? It was mentioned that in the link (http://alchemy.cs.washington.edu/user-manual/1Introduction.html)
In the next release we plan to include: 0in
Online learning
Exact inference for small domains
Specification of probabilities instead of weights for formulas in an MLN, and of probabilities for ground atoms in a database
Decision Theory
More extensive documentation
Appreciate it!
The text was updated successfully, but these errors were encountered: