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MAP Inference for Probabilistic Logic Programming
In Probabilistic Logic Programming (PLP) the most commonly studied inference task is to compute the marginal probability of a query given a program.
A Bayesian Approach to Conversational Recommendation Systems
We present a conversational recommendation system based on a Bayesian approach.
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