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1 Markov random field
French\ \ champ aléatoire de MarkovGerman\ \ Markowsches FeldDutch\ \ Markov random veldItalian\ \ campo casuale markovianoSpanish\ \ campo al azar de MarkovCatalan\ \ camp aleatori de MàrkovPortuguese\ \ campo aleatório de MarkovRomanian\ \ -Danish\ \ -Norwegian\ \ -Swedish\ \ -Greek\ \ Μαρκοβιανό τυχαίο πεδίοFinnish\ \ Markovin satunnaiskenttäHungarian\ \ -Turkish\ \ Markov rassal sahasıEstonian\ \ -Lithuanian\ \ -Slovenian\ \ -Polish\ \ -Ukrainian\ \ -Serbian\ \ -Icelandic\ \ Markov handahófi sviðiEuskara\ \ Markov ausazko eremuanFarsi\ \ -Persian-Farsi\ \ ميدان تصادفي مارکوفيArabic\ \ المجال العشوائي لماركوفAfrikaans\ \ Markov-stogastiese veldChinese\ \ -Korean\ \ 마르코프 임의장, 마르코프 확률장 -
2 Markov random field
Engineering: MRFУниверсальный русско-английский словарь > Markov random field
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3 марковское случайное поле
Engineering: Markov random fieldУниверсальный русско-английский словарь > марковское случайное поле
См. также в других словарях:
Markov random field — A Markov random field, Markov network or undirected graphical model is a set of variables having a Markov property described by an undirected graph. A Markov random field is similar to a Bayesian network in its representation of dependencies. It… … Wikipedia
Markov Random Field — Ein Markov Random Field (kurz MRF) oder Markow Netzwerk ist ein nach dem Mathematiker A. Markow benanntes statistisches Modell, welches ungerichtete Zusammenhänge (z. B. die Ausrichtung von Elementarmagneten) in einem Feld beschreibt. Das… … Deutsch Wikipedia
Random field — A random field is a generalization of a stochastic process such that the underlying parameter need no longer be a simple real, but can instead be a multidimensional vector space or even a manifold.At its most basic, discrete case, a random field… … Wikipedia
Conditional random field — A conditional random field (CRF) is a statistical modelling method often applied in pattern recognition. More specifically it is a type of discriminative undirected probabilistic graphical model. It is used to encode known relationships between… … Wikipedia
Conditional Random Field — Ein Conditional Random Field (CRF) ist ein ungerichtetes graphisches Modell. Oft werden CRFs zum Taggen von sequentiellen Daten verwendet. Das bedeutet, das CRF erhält eine Sequenz X als Eingabe und gibt eine gleichlange Sequenz Y aus. Im… … Deutsch Wikipedia
Markov model — In probability theory, a Markov model is a stochastic model that assumes the Markov property. Generally, this assumption enables reasoning and computation with the model that would otherwise be intractable. Contents 1 Introduction 2 Markov chain… … Wikipedia
Markov network — A Markov network, or Markov random field, is a model of the (full) joint probability distribution of a set mathcal{X} of random variables having the Markov property. A Markov network is similar to a Bayesian network in its representation of… … Wikipedia
Markov property — In probability theory and statistics, the term Markov property refers to the memoryless property of a stochastic process. It was named after the Russian mathematician Andrey Markov.[1] A stochastic process has the Markov property if the… … Wikipedia
Markov-Filter — Der Markow Filter (nach Andrei Andrejewitsch Markow) ist ein Spamfilter basierend auf einem Verborgenen Markow Modell und stellt eine Weiterentwicklung des Bayes Filters dar. Während bei einem Bayes Filter die Wahrscheinlichkeit einzelner Wörter… … Deutsch Wikipedia
Markov chain geostatistics — refer to the Markov chain models, simulation algorithms and associated spatial correlation measures (e.g., transiogram) based on the Markov chain random field theory, which extends a single Markov chain into a multi dimensional field for… … Wikipedia
Markov chain — A simple two state Markov chain. A Markov chain, named for Andrey Markov, is a mathematical system that undergoes transitions from one state to another, between a finite or countable number of possible states. It is a random process characterized … Wikipedia
