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principle of minimum information

См. также в других словарях:

  • Principle of maximum entropy — This article is about the probability theoretic principle. For the classifier in machine learning, see maximum entropy classifier. For other uses, see maximum entropy (disambiguation). Bayesian statistics Theory Bayesian probability Probability… …   Wikipedia

  • Minimum Fisher information — In information theory, the principle of minimum Fisher information (MFI) is a variational principle which, when applied with the proper constraints needed to reproduce empirically known expectation values, determines the best probability… …   Wikipedia

  • Minimum viable population — (MVP) is a lower bound on the population of a species, such that it can survive in the wild. This term is used in the fields of biology, ecology, and conservation biology. More specifically MVP is the smallest possible size at which a biological… …   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

  • information theory — the mathematical theory concerned with the content, transmission, storage, and retrieval of information, usually in the form of messages or data, and esp. by means of computers. [1945 50] * * * ▪ mathematics Introduction       a mathematical… …   Universalium

  • Minimum contacts — United States Federal Civil Procedure Doctrines Justiciability Advisory …   Wikipedia

  • Minimum number of individuals — In disciplines including forensic anthropology, bioarchaeology, osteoarchaeology and zooarchaeology Minimum number of individuals, or MNI, refers to the fewest possible number of people or animals in a skeletal assemblage. It is used to determine …   Wikipedia

  • Information and communication technologies for development — An OLPC class in Ulaanbaatar, Mongolia …   Wikipedia

  • Structural information theory — (SIT) is a theory about human perception and, in particular, about perceptual organization, that is, about the way the human visual system organizes a raw visual stimulus into objects and object parts. SIT was initiated, in the 1960s, by Emanuel… …   Wikipedia

  • Orthogonality principle — In statistics and signal processing, the orthogonality principle is a necessary and sufficient condition for the optimality of a Bayesian estimator. Loosely stated, the orthogonality principle says that the error vector of the optimal estimator… …   Wikipedia

  • Extreme physical information — (EPI) is a principle, first described and formulated in 1998 Frieden, B. Roy Physics from Fisher Information: A Unification , 1st Ed. Cambridge University Press, ISBN 0 521 63167 X, pp328, 1998 ( [ref name= Frieden6 ] shows 2nd Ed.)] by B. Roy… …   Wikipedia

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