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probabilistic network

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  • Network calculus — is a theoretical framework for analysing performance guarantees in computer networks. As traffic flows through a network it is subject to constraints imposed by the system components, for example: link capacity traffic shapers (leaky buckets)… …   Wikipedia

  • Network science — is a new and emerging scientific discipline that examines the interconnections among diverse physical or engineered networks, information networks, biological networks, cognitive and semantic networks, and social networks. This field of science… …   Wikipedia

  • Probabilistic relational model — A Probabilistic relational model (PRM) is the counterpart of a Bayesian network in statistical relational learning. External links* [http://forum.stanford.edu/research/project.php?id=164 A description of PRMs] …   Wikipedia

  • Bayesian network — A Bayesian network, Bayes network, belief network or directed acyclic graphical model is a probabilistic graphical model that represents a set of random variables and their conditional dependencies via a directed acyclic graph (DAG). For example …   Wikipedia

  • Artificial neural network — An artificial neural network (ANN), usually called neural network (NN), is a mathematical model or computational model that is inspired by the structure and/or functional aspects of biological neural networks. A neural network consists of an… …   Wikipedia

  • Biological network inference — Many types of biological networks exist. Few such networks are known in anything approaching their complete structure, even in the simplest bacteria. Still less is known on the parameters governing the behavior of such networks over time, how the …   Wikipedia

  • Dynamic network analysis — (DNA) is an emergent scientific field that brings together traditional social network analysis (SNA), link analysis (LA) and multi agent systems (MAS) within network science and network theory. There are two aspects of this field. The first is… …   Wikipedia

  • Markov logic network — A Markov logic network (or MLN) is a probabilistic logic which applies the ideas of a Markov network to first order logic, enabling uncertain inference. Markov logic networks generalize first order logic, in the sense that, in a certain limit,… …   Wikipedia

  • Artificial Neural Network — Réseau de neurones Pour les articles homonymes, voir Réseau. Vue simplifiée d un réseau artificiel de neurones Un réseau de neurones artificiel est un modèle de c …   Wikipédia en Français

  • Neuronal network — Réseau de neurones Pour les articles homonymes, voir Réseau. Neurosciences …   Wikipédia en Français

  • Social-circles network model — The generative model of feedback networks [Cited by Wei, Wang, Qiuping, Nivanen, Lauret et al (2006 01 12) [http://www.citebase.org/abstract?id=oai%3AarXiv.org%3Aphysics%2F0601091 How to fit the degree distribution of the air network?] ] , [Cited …   Wikipedia

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