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Published 20 hours ago • verified publisher icon kamel-usp

Maximum a Posteriori Inference

Open denismaua opened this issue 1 year ago • 2 comments

Implement algorithms for maximum a posteriori inference, that is, finding the probable interpretation of a selected set of facts. Implement at least a brute-force algorithm and an algorithm that calls clingo or plingo for optimization/sampling. Can start with simple cases (acyclic/stratified programs) then move to programs with cycles and max-ent semantics.

denismaua avatar Sep 14 '23 23:09 denismaua

I Would like to work on this issue

149189 avatar Oct 01 '23 18:10 149189

Hi Kaustubh,

Any help is appreciated. You can submit a merge request, once you have something. Please let me know if you need/want any guidance.

Best Regards, Denis

On 1 Oct 2023, at 11:58, Kaustubh Ratwadkar @.***> wrote:

I Would like to work on this issue

— Reply to this email directly, view it on GitHub https://github.com/kamel-usp/dpasp/issues/2#issuecomment-1742168762, or unsubscribe https://github.com/notifications/unsubscribe-auth/AB5N3MGLR5ZI7TVOSJE6UHDX5G4OHANCNFSM6AAAAAA4Y65RA4. You are receiving this because you authored the thread.

denismaua avatar Oct 02 '23 20:10 denismaua