Results 71 to 80 of about 5,037,515 (156)
Learning Bayesian Networks with the bnlearn R Package [PDF]
bnlearn is an R package (R Development Core Team 2010) which includes several algorithms for learning the structure of Bayesian networks with either discrete or continuous variables.
Marco Scutari
core
, 2014 A simple Bayesian network.
Rocío Erandi Barrientos-Martínez (543069) +11 more
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Cause analysis approach for work safety accidents in urban gas pipeline network based on AcciMap-BN
You-qi chuyun[Objective] Work safety accidents in urban gas pipeline networks have been increasing in frequency in recent years in China,causing significant negative impacts on public security.
SUN Yilin +3 more
doaj +1 more source
Causal Bayesian network structure.
, 2015 Causal Bayesian network structure.
Alexandre Aussem (714422) +4 more
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A Bayesian Belief Network to Infer Incentive Mechanisms to Reduce Antibiotic Use in Livestock Production [PDF]
Efficient policy intervention to reduce antibiotic use in livestock production requires knowledge about the rationale underlying antibiotic usage. Animal health status and management quality are considered the two most important factors that influence ...
Bergevoet, Ron H.M. +4 more
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A Bayesian attractor network with incremental learning
, 2002 A realtime online learning system with capacity limits needs to gradually forget old information in order to avoid catastrophic forgetting. This can be achieved by allowing new information to overwrite old, as in a so-called palimpsest memory. This paper
Petersson, K. M. +11 more
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Bayesian neural network learning for repeat purchase modelling in direct marketing. [PDF]
We focus on purchase incidence modelling for a European direct mail company. Response models based on statistical and neural network techniques are contrasted.
Van den Poel, D +4 more
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, 2018 Top left: NBC = Naïve Bayes classifier; top right: TAN = Tree augmented Naïve-Bayes network; bottom left: BAN = Bayesian network augmented Naïve-Bayes network; bottom right: MBN = Markov blanket Bayesian network.
Behrouz Ehsani-Moghaddam (6103097) +3 more
core +1 more source
, 2012 By probing its functional anatomy, the default mode network (DMN) can be considered consisting of two interacting hub and non-hub subsystems. The hub subsystem includes posterior cingulate cortex (PCC), medial prefrontal cortex (MPFC) and bilateral ...
Chen, Kewei +5 more
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