- selection criterion
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критерий отбора
Англо-русский словарь технических терминов. 2005.
selection criterion
Смотреть что такое "selection criterion" в других словарях:
selection criterion — atrankos kriterijus statusas T sritis automatika atitikmenys: angl. selection criterion vok. Auswahlkriterium, n rus. критерий отбора, m pranc. critère de sélection, f … Automatikos terminų žodynas
criterion — UK US /kraɪˈtɪəriən/ noun [C] (plural criteria) ► a standard by which you judge, decide about, or deal with something: »Pay is a very important criterion for job satisfaction. »When employing new staff, you need to be very clear about your… … Financial and business terms
criterion — noun ADJECTIVE ▪ sole ▪ basic, main, primary (esp. AmE) ▪ strict, stringent ▪ objective … Collocations dictionary
criterion — criterial, adj. /kruy tear ee euhn/, n., pl. criteria / tear ee euh/, criterions. a standard of judgment or criticism; a rule or principle for evaluating or testing something. [1605 15; < Gk kritérion a standard, equiv. to kri var. s. of krínein… … Universalium
criterion — cri•te•ri•on [[t]kraɪˈtɪər i ən[/t]] n. pl. te•ri•a [[t] ˈtɪər i ə[/t]] te•ri•ons use a standard of judgment or criticism; a rule or principle for evaluating or testing something • Etymology: 1605–15; < Gk kritḗrion a standard =kri , var. s.… … From formal English to slang
critère de sélection — atrankos kriterijus statusas T sritis automatika atitikmenys: angl. selection criterion vok. Auswahlkriterium, n rus. критерий отбора, m pranc. critère de sélection, f … Automatikos terminų žodynas
Bayesian information criterion — In statistics, in order to describe a particular dataset, one can use non parametric methods or parametric methods. In parametric methods, there might be various candidate models with different number of parameters to represent a dataset. The… … Wikipedia
Akaike information criterion — Akaike s information criterion, developed by Hirotsugu Akaike under the name of an information criterion (AIC) in 1971 and proposed in Akaike (1974), is a measure of the goodness of fit of an estimated statistical model. It is grounded in the… … Wikipedia
Deviance information criterion — The deviance information criterion (DIC) is a hierarchical modeling generalization of the AIC (Akaike information criterion) and BIC (Bayesian information criterion, also known as the Schwarz criterion). It is particularly useful in Bayesian… … Wikipedia
Model selection — is the task of selecting a statistical model from a set of candidate models, given data. In the simplest cases, a pre existing set of data is considered. However, the task can also involve the design of experiments such that the data collected is … Wikipedia
Feature selection — Feature selection, also known as variable selection, feature reduction, attribute selection or variable subset selection, is the technique, commonly used in machine learning, of selecting a subset of relevant features for building robust learning … Wikipedia
