Non-homogeneous dynamic Bayesian networks for continuous data
نویسندگان
چکیده
منابع مشابه
Non-stationary continuous dynamic Bayesian networks
Dynamic Bayesian networks have been applied widely to reconstruct the structure of regulatory processes from time series data. The standard approach is based on the assumption of a homogeneous Markov chain, which is not valid in many realworld scenarios. Recent research efforts addressing this shortcoming have considered undirected graphs, directed graphs for discretized data, or over-flexible ...
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ژورنال
عنوان ژورنال: Machine Learning
سال: 2011
ISSN: 0885-6125,1573-0565
DOI: 10.1007/s10994-010-5230-7