Bayesian Probabilistic Modeling
Keith discusses the concept of an ap distribution, where probabilities themselves can be probabilistic. Guy emphasizes the importance of hierarchical probabilistic modeling. Walid raises the question of qualitative versus quantitative aspects in probability, adding depth to the discussion.In this clip
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Machine Learning Street Talk (MLST)
#062 - Dr. Guy Emerson - Linguistics, Distributional Semantics
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