A model-learner pattern for Bayesian reasoning. Gordon, A D, Aizatulin, M, Borgström, J., & Claret, G Proceedings of the 40th …, 2013. abstract bibtex Abstract A Bayesian model is based on a pair of probability distributions, known as the prior and sampling distributions. A wide range of fundamental machine learning tasks, including regression, classification, clustering, and many others, can all be seen as Bayesian.
@Article{Gordon2013,
author = {Gordon, A D and Aizatulin, M and Borgström, J. and Claret, G},
title = {A model-learner pattern for Bayesian reasoning},
journal = {Proceedings of the 40th …},
volume = {},
number = {},
pages = {},
year = {2013},
abstract = {Abstract A Bayesian model is based on a pair of probability distributions, known as the prior and sampling distributions. A wide range of fundamental machine learning tasks, including regression, classification, clustering, and many others, can all be seen as Bayesian.},
location = {},
keywords = {}}
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