A visual analytics workflow for probabilistic modeling

Probabilistic programming is a powerful means for formally specifying machine learning models. The inference engine of a probabilistic programming environment can be used for serving complex queries on these models. Most of the current research in probabilistic programming is dedicated to the design...

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Bibliographic Details
Main Authors: Julien Klaus, Mark Blacher, Andreas Goral, Philipp Lucas, Joachim Giesen
Format: Article
Language:English
Published: Elsevier 2023-06-01
Series:Visual Informatics
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2468502X23000153