maximum entropy principle

maximum entropy principle
French\ \ principe d'entropie maximum
German\ \ Prinzip der maximalen Entropie
Dutch\ \ principe van de maximale entropie
Italian\ \ principio di entropia massimo
Spanish\ \ principio de entropía máximo
Catalan\ \ principi de l'entropia màxima
Portuguese\ \ princípio da entropia máxima
Romanian\ \ -
Danish\ \ -
Norwegian\ \ -
Swedish\ \ maximum entropi-princip
Greek\ \ αρχή μέγιστης εντροπίας
Finnish\ \ suurimman entropian periaate
Hungarian\ \ -
Turkish\ \ maksimum entropi prensibi
Estonian\ \ -
Lithuanian\ \ didžiausiosios entropijos metodas
Slovenian\ \ -
Polish\ \ -
Russian\ \ принципы максимальной энтропии
Ukrainian\ \ принцип максимальної ентропії
Serbian\ \ принцип максималне ентропије
Icelandic\ \ hámarks óreiðu meginreglu
Euskara\ \ gehienez entropia printzipioa
Farsi\ \ -
Persian-Farsi\ \ اصل ماکسيمم آنتروپي
Arabic\ \ مبدأ الانتروبيا الاعظم
Afrikaans\ \ maksimumentropie-beginsel
Chinese\ \ -
Korean\ \ 최대엔트로피원리

Statistical terms. 2014.

Игры ⚽ Поможем написать реферат

Look at other dictionaries:

  • 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

  • Maximum entropy spectral analysis — (MaxEnt spectral analysis) is a method of improving spectral quality based on the principle of maximum entropy. It is simply the application of maximum entropy modeling to any type of spectrum and is used in all fields where data is presented in… …   Wikipedia

  • Maximum entropy — may refer to: The principle of maximum entropy The maximum entropy probability distribution Maximum entropy spectral estimation Maximum entropy spectral analysis Maximum entropy thermodynamics The law of maximum entropy production Entropy… …   Wikipedia

  • Maximum entropy thermodynamics — In physics, maximum entropy thermodynamics (colloquially, MaxEnt thermodynamics) views equilibrium thermodynamics and statistical mechanics as inference processes. More specifically, MaxEnt applies inference techniques rooted in Shannon… …   Wikipedia

  • Maximum entropy probability distribution — In statistics and information theory, a maximum entropy probability distribution is a probability distribution whose entropy is at least as great as that of all other members of a specified class of distributions. According to the principle of… …   Wikipedia

  • Principle of minimum energy — The principle of minimum energy is essentially a restatement of the second law of thermodynamics. It states that for a closed system, with constant external parameters and entropy, the internal energy will decrease and approach a minimum value at …   Wikipedia

  • Entropy — This article is about entropy in thermodynamics. For entropy in information theory, see Entropy (information theory). For a comparison of entropy in information theory with entropy in thermodynamics, see Entropy in thermodynamics and information… …   Wikipedia

  • Entropy in thermodynamics and information theory — There are close parallels between the mathematical expressions for the thermodynamic entropy, usually denoted by S , of a physical system in the statistical thermodynamics established by Ludwig Boltzmann and J. Willard Gibbs in the 1870s; and the …   Wikipedia

  • Entropy (classical thermodynamics) — In thermodynamics, entropy is a measure of how close a thermodynamic system is to equilibrium. A thermodynamic system is any physical object or region of space that can be described by its thermodynamic quantities such as temperature, pressure,… …   Wikipedia

  • Principle of indifference — The principle of indifference (also called principle of insufficient reason) is a rule for assigning epistemic probabilities.Suppose that there are n gt; 1 mutually exclusive and collectively exhaustive possibilities.The principle of indifference …   Wikipedia

  • Entropy maximization — An entropy maximization problem is a convex optimization problem of the form:maximize f 0(x) = sum {i=1}^n x i log x i :subject to Ax leq b, quad mathbf{1}^T x =1where x in mathbb{R}^n {++} is the optimization variable, Ainmathbb{R}^{m imes n}… …   Wikipedia

Share the article and excerpts

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