ForneyLab.jl: a Julia toolbox for factor graph-based probabilistic programming

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Abstract

Scientific modeling concerns a continual search for better models for given data sets. This process can be elegantly captured in a Bayesian inference framework. ForneyLab enables largely automated scientific design loops by deriving fast, analytic algorithms for approximate Bayesian inference.
Original languageEnglish
Title of host publicationJuliaCon
Publication statusPublished - 8 Aug 2018
EventJuliaCon 2018 - University College London, London, United Kingdom
Duration: 7 Aug 201811 Aug 2018
http://juliacon.org/2018/

Conference

ConferenceJuliaCon 2018
CountryUnited Kingdom
CityLondon
Period7/08/1811/08/18
Internet address

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