(redirected from Bayesian belief network)
Also found in: Medical.
Category filter:
BBNBig Blue Nation (University of Kentucky Wildcats)
BBNBible Broadcasting Network (Christian radio network)
BBNBolt, Beranek, & Newman
BBNBig Bang Nucleosynthesis (cosmology)
BBNBye Bye Now
BBNBusiness Building Network
BBNBroadband Network
BBNBusiness Brokers Network
BBNBayesian Belief Network
BBNBackbone Network
BBNBarbarian (Dungeons and Dragons class)
BBNBaltic Business News
BBNBruin Broadcast Network (Catholic High School)
BBNBig Brother News
BBNBroadband Noise
BBNBuilding Better Neighborhoods (various locations)
BBNBayanihan Blog Network (Philippines)
BBNBellingham Business News (Bellingham, WA)
BBNBureau Burundais de Normalisation et Contrôle de la Qualité (French: Burundi Bureau of Standards and Quality Control; Burundi)
BBNBiuro Bezpieczenstwa Narodowego (Poland)
BBNBase-Band Node
BBNBulk Billing Number
BBNBurly Bear Network (TV)
BBNBeauBlancNoir (French: Beautiful White Black; sports club)
BBNBrass Band Normandie (France)
BBNBrethren Business Network (Organization of Church of the Brethren / Christian values in the workplace)
BBNBrèves Basse-Normandie (French: Short Lower Normandy)
BBNBlanc Beur Noir (French charitable organization)
Copyright 1988-2018, All rights reserved.
References in periodicals archive ?
Bayesian Belief Networks or Bayesian Neural Networks are easily implementable statistical models that capture reasoning given uncertainty from data by either utilizing evidence from other data, domain expertise or both (14).
In our research, Bayesian belief networks are developed with the help of a heuristic algorithm using the Bayesian function of network structure to distribution matching as a scoring function, named K2 (Jensen, 2001).
Van der Meer, "Modelling the reliability of search and rescue operations with Bayesian Belief Networks," Reliability Engineering and System Safety, vol.
The fourth contribution our paper makes is the use of probability-based machine learning analytical and modeling tools (Bayesian Belief Network modeling) to make observational inferences about population health which could be further used to make inferences about individuals and types of individuals.
Bayesian Belief Networks, Bayesian Networks (BN) for short, are effective and practical representations of knowledge for reasoning under uncertainty.
Cooper, "The computational complexity of probabilistic inference using Bayesian belief networks," Artificial Intelligence.
Starting from this consideration and the abovementioned challenges and needs, the paper proposes a solution mainly centered on the Modelica language [23] for supporting dependability analysis of systems centered on stochastic Bayesian Network (BN) (also called belief networks, Bayesian belief networks, causal probabilistic networks, or causal networks) [24].
Bouckaert, Bayesian Belief Networks: from Construction to Inference, University of Utrecht, Utrecht, The Netherlands, 1995.
Several of these chapters discuss Bayesian belief networks. Structuring of text data and semantics is addressed in a few chapters.
Using Bayesian belief networks to evaluate fish and wildlife population viability under land management alternatives from an environmental impact statement, Forest Ecology and Management 153(1-3): 29-42.
Full browser ?