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probabilistic model of structure

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  • Model selection — is the task of selecting a statistical model from a set of candidate models, given data. In the simplest cases, a pre existing set of data is considered. However, the task can also involve the design of experiments such that the data collected is …   Wikipedia

  • Model — Contents 1 Physical 1.1 Human models 2 Nonphysical 2.1 …   Wikipedia

  • Model of Hierarchical Complexity — The model of hierarchical complexity is a framework for scoring how complex a behavior is. It quantifies the order of hierarchical complexity of a task based on mathematical principles of how the information is organized and of information… …   Wikipedia

  • Model of hierarchical complexity — The model of hierarchical complexity, is a framework for scoring how complex a behavior is. It quantifies the order of hierarchical complexity of a task based on mathematical principles of how the information is organized and of information… …   Wikipedia

  • Model checking — This article is about checking of models in computer science. For the checking of models in statistics, see regression model validation. In computer science, model checking refers to the following problem: Given a model of a system, test… …   Wikipedia

  • Constellation model — The constellation model is a probabilistic, generative model for category level object recognition in computer vision. Like other part based models, the constellation model attempts to represent an object class by a set of N parts under mutual… …   Wikipedia

  • Nucleic acid structure prediction — This article is about the computational prediction of nucleic acid structure. For experimental methods, see Nucleic acid structure determination. Nucleic acid structure prediction is a computational method to determine nucleic acid secondary and… …   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

  • Hierarchical hidden Markov model — The Hierarchical hidden Markov model (HHMM) is a statistical model derived from the hidden Markov model (HMM). In an HHMM each state is considered to be a self contained probabilistic model. More precisely each stateof the HHMM is itself an HHMM …   Wikipedia

  • Global climate model — AGCM redirects here. For Italian competition regulator, see Autorità Garante della Concorrenza e del Mercato. Climate models are systems of differential equations based on the basic laws of physics, fluid motion, and chemistry. To “run” a model,… …   Wikipedia

  • Substitution model — A substitution model describes the process from which a sequence of characters of a fixed size from some alphabet changes into another set of traits. For example, in cladistics, each position in the sequence might correspond to a property of a… …   Wikipedia

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