Abstract
| Original language | English |
|---|---|
| Title of host publication | JuliaCon |
| Publication status | Published - 8 Aug 2018 |
| Event | JuliaCon 2018 - University College London, London, United Kingdom Duration: 7 Aug 2018 → 11 Aug 2018 http://juliacon.org/2018/ |
Conference
| Conference | JuliaCon 2018 |
|---|---|
| Country | United Kingdom |
| City | London |
| Period | 7/08/18 → 11/08/18 |
| Internet address |
Cite this
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ForneyLab.jl: a Julia toolbox for factor graph-based probabilistic programming. / van de Laar, T.W.; Cox, M.G.H.; de Vries, A.
JuliaCon. 2018.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic
TY - GEN
T1 - ForneyLab.jl: a Julia toolbox for factor graph-based probabilistic programming
AU - van de Laar, T.W.
AU - Cox, M.G.H.
AU - de Vries, A.
PY - 2018/8/8
Y1 - 2018/8/8
N2 - 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.
AB - 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.
UR - https://youtu.be/RS4hJ4oBr9c
M3 - Conference contribution
BT - JuliaCon
ER -