Discriminative power for ensembles of linear decision rules / Kobylkin K.S., Khachai M.Y. // Pattern Recognition and Image Analysis. - 2013. - V. 23, l. 3. - P. 352-358.

ISSN:

10546618

Type:

Article

Abstract:

A novel class of ensembles of linear decision rules is introduced which includes majority voting-based ensembles as a particular case. Based on this general framework, new results are given that state the ability of a subclass to discriminate between two infinite subsets A and B in R n, thus generalizing Mazurov's theorem for two finite sets. © 2013 Pleiades Publishing, Ltd.

Author keywords:

committee decision rule; separation of two sets

Index keywords:

Committee decision rules; Discriminative power; Finite set; Linear decision rules; New results; Computer vision; Pattern recognition

DOI:

10.1134/S1054661813030073

Смотреть в Scopus:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-84884381380&doi=10.1134%2fS1054661813030073&partnerID=40&md5=9f678c61ef8eb116860e4c76a0ce4450

Соавторы в МНС:

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Другие поля

Поле	Значение
Link	https://www.scopus.com/inward/record.uri?eid=2-s2.0-84884381380&doi=10.1134%2fS1054661813030073&partnerID=40&md5=9f678c61ef8eb116860e4c76a0ce4450
Affiliations	Institute of Mathematics and Mechanics, Ural Branch, Russian Academy of Sciences, ul. Sof'i Kovalevskoi 16, Yekaterinburg, 620990, Russian Federation; Ural Federal University, ul. Mira 19, Yekaterinburg, 620002, Russian Federation; Omsk State Technical University, pr. Mira 11, Omsk, 644050, Russian Federation
Author Keywords	committee decision rule; separation of two sets
References	Mazurov, V.D., (1990) Committee Method in Optimization and Classification Problems, , Moscow: Science; Khachai, M.Y., Sufficient training sample length for committee decision rule (2000) Iskusstv. Intellekt, No. 2, pp. 219-223; Krivonogov, A.I., Some grounding problems for committee algorithm (1981) Classification and Optimization in Control Problems, pp. 39-51. , Sverdlovsk: Ufa Sci. Center of RAS; Kobylkin, K.S., Committee existence problems for linear inequalities (2005) Available from VINITI No. 430-V2005; Kamenev, G.K., (2007) Optimal Adaptive Methods of Polyhedral Approximation for Convex Bodies, , Moscow: Dorodnicyn Computing Centre of RAS
Correspondence Address	Kobylkin, K. S.; Institute of Mathematics and Mechanics, Ural Branch, Russian Academy of Sciences, ul. Sof'i Kovalevskoi 16, Yekaterinburg, 620990, Russian Federation; email: kobylkin@imm.uran.ru
Language of Original Document	English
Abbreviated Source Title	Pattern Recogn. Image Anal.
Source	Scopus