Increasing Interpretability of Bayesian Probabilistic Programming Models Through Interactive Representations (2020)
Attributed to:
Closed-Loop Data Science for Complex, Computationally- and Data-Intensive Analytics
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.3389/fcomp.2020.567344
Publication URI: http://dx.doi.org/10.3389/fcomp.2020.567344
Type: Journal Article/Review
Parent Publication: Frontiers in Computer Science