classifier

  • 71classification — [ klasifikasjɔ̃ ] n. f. • 1752; de classifier ♦ (Abstrait) Action de distribuer par classes, par catégories; résultat de cette action. ⇒ classement; division. Science des classifications. ⇒ systématique, taxinomie. Classification dichotomique.… …

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  • 72Vietnamese language — Vietnamese Tiếng Việt Pronunciation [tiə̌ŋ viə̀ˀt] (Northern) [tiə̌n jiə̀k] (Southern) Spoken in …

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  • 73Mon language — This article is about Mon language, spoken in southeastern Burma and western Thailand; Peguan is redirected here. For the northeastern Thai, northwestern Lao, and northern Vietnamese language of the Hmong, see Hmong language. Mon ဘာသာ မန် …

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  • 74Mayan languages — Maya language redirects here. For other uses, see Maya language (disambiguation). Mayan Geographic distribution: Mesoamerica: Southern Mexico; …

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  • 75Topos — For topoi in literary theory, see Literary topos. For topoi in rhetorical invention, see Inventio. In mathematics, a topos (plural topoi or toposes ) is a type of category that behaves like the category of sheaves of sets on a topological space.… …

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  • 76Chinese grammar — This article describes the grammar of Standard Chinese. For the grammars of other forms of Chinese, see their respective articles via links on Chinese language and varieties of Chinese. 中文語法/中文语法 Zhōngwén yǔfǎ (Chinese grammar) Standard Chinese… …

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  • 77Burmese language — Burmese မြန်မာစာ (written Burmese) မြန်မာစကား (spoken Burmese) Pronunciation IPA:  …

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  • 78Automatic summarization — is the creation of a shortened version of a text by a computer program. The product of this procedure still contains the most important points of the original text. The phenomenon of information overload has meant that access to coherent and… …

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  • 79Random forest — In machine learning, a random forest is a classifier that consists of many decision trees and outputs the class that is the mode of the classes output by individual trees. The algorithm for inducing a random forest was developed by Leo Breiman… …

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  • 80Linear discriminant analysis — (LDA) and the related Fisher s linear discriminant are methods used in statistics, pattern recognition and machine learning to find a linear combination of features which characterize or separate two or more classes of objects or events. The… …

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