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variational model

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  • Variational message passing — (VMP) is an approximate inference technique for continuous valued Bayesian networks, with conjugate exponential parents, developed by John Winn in his PhD thesis. John Winn is now at Microsoft Research. VMP was developed as a means of… …   Wikipedia

  • Variational Bayesian methods — Variational Bayesian methods, also called ensemble learning, are a family of techniques for approximating intractable integrals arising in Bayesian statistics and machine learning. They can be used to lower bound the marginal likelihood (i.e.… …   Wikipedia

  • Variational method (quantum mechanics) — The variational method is, in quantum mechanics, one way of finding approximations to the lowest energy eigenstate or ground state, and some excited states. The basis for this method is the variational principle. Introduction Suppose we are given …   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

  • Atmospheric model — A 96 hour forecast of 850 mbar geopotential height and temperature from the Global Forecast System An atmospheric model is a mathematical model constructed around the full set of primitive dynamical equations which govern atmospheric motions. It… …   Wikipedia

  • Gaussian network model — The Gaussian network model (GNM), one of many things named after Carl Gauss, is a representation of a biological macromolecule as an elastic mass and spring network to study, understand, and characterize mechanical aspects of its long scale… …   Wikipedia

  • Wind wave model — NOAA Wavewatch III 120 hour Forecast for the North Atlantic In fluid dynamics, wind wave modeling describes the effort to depict the sea state and predict the evolution of the energy of wind waves using numerical techniques. These simulations… …   Wikipedia

  • Community Radiative Transfer Model — (CRTM) is the fast radiative transfer model for calculations of radiances for satellite infrared or microwave nadir scanning radiometers (see push broom scanner). Given an atmospheric profile of temperature, variable gas concentrations, cloud and …   Wikipedia

  • Hidden Markov Model — Das Hidden Markov Model (HMM) ist ein stochastisches Modell, das sich durch zwei Zufallsprozesse beschreiben lässt. Es ist die einfachste Form eines dynamischen Bayes schen Netzes. Der erste Zufallsprozess entspricht dabei einer Markov Kette, die …   Deutsch Wikipedia

  • One-shot learning — is an object categorization problem of current research interest in computer vision. Whereas most machine learning based object categorization algorithms require training on hundreds or thousands of images and very large datasets, one shot… …   Wikipedia

  • Data assimilation — Applications of data assimilation arise in many fields of geosciences, perhaps most importantly in weather forecasting and hydrology. Data assimilation proceeds by analysis cycles. In each analysis cycle, observations of the current (and possibly …   Wikipedia

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