Bayesian framework

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• Bayesian experimental design — provides a general probability theoretical framework from which other theories on experimental design can be derived. It is based on Bayesian inference to interpret the observations/data acquired during the experiment. This allows accounting for… …   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

• Bayesian game — In game theory, a Bayesian game is one in which information about characteristics of the other players (i.e. payoffs) is incomplete. Following John C. Harsanyi s framework, a Bayesian game can be modelled by introducing Nature as a player in a… …   Wikipedia

• Bayesian statistics — Statistical theory, based on Bayes&’ decision rule, that outlines a framework for producing decisions based on relative payoffs of different outcomes. Used in genetic counselling …   Dictionary of molecular biology

• Memory-prediction framework — The memory prediction framework is a theory of brain function that was created by Jeff Hawkins and described in his 2004 book On Intelligence. This theory concerns the role of the mammalian neocortex and its associations with the hippocampus and… …   Wikipedia

• Recursive Bayesian estimation — is a general probabilistic approach for estimating an unknown probability density function recursively over time using incoming measurements and a mathematical process model. Model The true state x is assumed to be an unobserved Markov process,… …   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

• Minimum description length — The minimum description length (MDL) principle is a formalization of Occam s Razor in which the best hypothesis for a given set of data is the one that leads to the best compression of the data. MDL was introduced by Jorma Rissanen in 1978. It is …   Wikipedia

• Inference — is the act or process of deriving a conclusion based solely on what one already knows. Inference is studied within several different fields. * Human inference (i.e. how humans draw conclusions) is traditionally studied within the field of… …   Wikipedia

• Raven paradox — The Raven paradox, also known as Hempel s paradox or Hempel s ravens is a paradox proposed by the German logician Carl Gustav Hempel in the 1940s to illustrate a problem where inductive logic violates intuition. It reveals the problem of… …   Wikipedia

• Panos G. Georgopoulos — Panos G. Georgopoulos, Ph.D. is a scientist working in the field of Environmental Health and specializing in Mathematical Modeling of Environmental and Biological Systems. He is the architect or the MOdeling ENvironment for Total Risk studies… …   Wikipedia