Expectation propagation

Expectation propagation

Expectation Propagation (EP) is a technique in machine learning, developed by Thomas Minka.

EP finds approximations to a probability distribution. It uses an iterative approach that leverages the factorisation structure of the target distribution.

External links

* [http://research.microsoft.com/~minka/papers/ep/ Minka's EP papers]


Wikimedia Foundation. 2010.

Игры ⚽ Нужно сделать НИР?

Look at other dictionaries:

  • Latent Dirichlet allocation — In statistics, latent Dirichlet allocation (LDA) is a generative model that allows sets of observations to be explained by unobserved groups which explain why some parts of the data are similar. For example, if observations are words collected… …   Wikipedia

  • Message-passing method — Message passing methods are a set of algorithms in statistics/machine learning for doing inference through local computation. Belief propagation on Bayesian networks is a good example of a message passing method. Variational message passing… …   Wikipedia

  • Christianity — /kris chee an i tee/, n., pl. Christianities. 1. the Christian religion, including the Catholic, Protestant, and Eastern Orthodox churches. 2. Christian beliefs or practices; Christian quality or character: Christianity mixed with pagan elements; …   Universalium

  • Measurement uncertainty — In metrology, measurement uncertainty is a non negative parameter characterizing the dispersion of the values attributed to a measured quantity. The uncertainty has a probabilistic basis and reflects incomplete knowledge of the quantity. All… …   Wikipedia

  • Path integral formulation — This article is about a formulation of quantum mechanics. For integrals along a path, also known as line or contour integrals, see line integral. The path integral formulation of quantum mechanics is a description of quantum theory which… …   Wikipedia

  • Propagator — This article is about Quantum field theory. For plant propagation, see Plant propagation. Quantum field theory …   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

  • Determination of equilibrium constants — Equilibrium constants are determined in order to quantify chemical equilibria. When an equilibrium constant is expressed as a concentration quotient, it is implied that the activity quotient is constant. In order for this assumption to be valid… …   Wikipedia

  • biblical literature — Introduction       four bodies of written works: the Old Testament writings according to the Hebrew canon; intertestamental works, including the Old Testament Apocrypha; the New Testament writings; and the New Testament Apocrypha.       The Old… …   Universalium

  • ZIONISM — This article is arranged according to the following outline: the word and its meaning forerunners ḤIBBAT ZION ROOTS OF ḤIBBAT ZION background to the emergence of the movement the beginnings of the movement PINSKER S AUTOEMANCIPATION settlement… …   Encyclopedia of Judaism

Share the article and excerpts

Direct link
Do a right-click on the link above
and select “Copy Link”