nonparametric representation

nonparametric representation
мат. непараметрическое представление

Большой англо-русский и русско-английский словарь. 2001.

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  • Conceptual model — For other uses, see Model (disambiguation). In the most general sense, a model is anything used in any way to represent anything else. Some models are physical objects, for instance, a toy model which may be assembled, and may even be made to… …   Wikipedia

  • Dirichlet process — In probability theory, a Dirichlet process is a stochastic process that can be thought of as a probability distribution whose domain is itself a random distribution. That is, given a Dirichlet process , where H (the base distribution) is an… …   Wikipedia

  • Multivariate kernel density estimation — Kernel density estimation is a nonparametric technique for density estimation i.e., estimation of probability density functions, which is one of the fundamental questions in statistics. It can be viewed as a generalisation of histogram density… …   Wikipedia

  • Information visualization — the interdisciplinary study of the visual representation of large scale collections of non numerical information, such as files and lines of code in software systems [S.G. Eick (1994). Graphically displaying text . In: Journal of Computational… …   Wikipedia

  • Automatic image annotation — (also known as automatic image tagging) is the process by which a computer system automatically assigns metadata in the form of captioning or keywords to a digital image. This application of computer vision techniques is used in image retrieval… …   Wikipedia

  • Wold's theorem — This article is about the theorem as used in time series analysis. For an abstract mathematical statement, see Wold decomposition. In statistics, Wold s decomposition or the Wold representation theorem (not to be confused with the Wold theorem… …   Wikipedia

  • Multifactor dimensionality reduction — (MDR) is a data mining approach for detecting and characterizing combinations of attributes or independent variables that interact to influence a dependent or class variable. MDR was designed specifically to identify interactions among discrete… …   Wikipedia

  • Applications des SIG — Applications des systèmes d information géographique Les Systèmes d information géographique (SIG) est une intégration organisationnelle d un logiciel et de données géographiques. Un système qui assure la collecte, le stockage, l analyse et la… …   Wikipédia en Français

  • Applications des systèmes d'information géographique — Un Système d information géographique (SIG) est une intégration organisationnelle d un logiciel et de données géographiques. Autrement dit un système qui assure la collecte, le stockage, l’analyse et la visualisation de données. Les SIG aident à… …   Wikipédia en Français

  • Least squares — The method of least squares is a standard approach to the approximate solution of overdetermined systems, i.e., sets of equations in which there are more equations than unknowns. Least squares means that the overall solution minimizes the sum of… …   Wikipedia

  • Time series — Time series: random data plus trend, with best fit line and different smoothings In statistics, signal processing, econometrics and mathematical finance, a time series is a sequence of data points, measured typically at successive times spaced at …   Wikipedia


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