z-logo
open-access-imgOpen Access
Marginalized Continuous Time Bayesian Networks for Network Reconstruction from Incomplete Observations
Author(s) -
Lukas Studer,
Loı̈c Paulevé,
Christoph Zechner,
Matthias Reumann,
María Rodríguez Martínez,
Heinz Koeppl
Publication year - 2016
Publication title -
proceedings of the ... aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v30i1.10294
Subject(s) - inference , computer science , markov chain monte carlo , focus (optics) , series (stratigraphy) , approximate inference , bayesian inference , bayesian network , bayesian probability , algorithm , time series , dynamic bayesian network , artificial intelligence , machine learning , physics , paleontology , optics , biology

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here