probabilistic network model

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• 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

• 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

• 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

• 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

• Gene regulatory network — A gene regulatory network (also called a GRN or genetic regulatory network ) is a collection of DNA segments in a cell which interact with each other (indirectly through their RNA and protein expression products) and with other substances in the… …   Wikipedia

• Graphical model — In probability theory, statistics, and machine learning, a graphical model (GM) is a graph that represents independencies among random variables by a graph in which each node is a random variable, and the missing edges between the nodes represent …   Wikipedia

• Mixture model — See also: Mixture distribution In statistics, a mixture model is a probabilistic model for representing the presence of sub populations within an overall population, without requiring that an observed data set should identify the sub population… …   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

• Bag of words model in computer vision — This is an article introducing the Bag of words model (BoW) in computer vision, especially for object categorization. From now, the BoW model refers to the BoW model in computer vision unless explicitly declared.Before introducing the BoW model,… …   Wikipedia

• Hidden Markov model — Probabilistic parameters of a hidden Markov model (example) x mdash; states y mdash; possible observations a mdash; state transition probabilities b mdash; output probabilitiesA hidden Markov model (HMM) is a statistical model in which the system …   Wikipedia