ERROR BOUNDS FOR THE METHOD OF MINIMIZATION OF EMPIRICAL RISK.

A. B. Tsybakov

ERROR BOUNDS FOR THE METHOD OF MINIMIZATION OF EMPIRICAL RISK.

A. B. Tsybakov

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Résumé

New nonasymptotic upper bounds are obtained for the probability of deviation of the minimum empirical risk from the minimum average risk in a class of problems that includes signal identification against an additive noise background under conditions of a priori uncertainty, as well as certain other pattern-recognition problems.

langue originale	Anglais
Pages (de - à)	33-42
Nombre de pages	10
journal	Problems of Information Transmission
Volume	17
Numéro de publication	1
état	Publié - 1 janv. 1981

Contient cette citation

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title = "ERROR BOUNDS FOR THE METHOD OF MINIMIZATION OF EMPIRICAL RISK.",

abstract = "New nonasymptotic upper bounds are obtained for the probability of deviation of the minimum empirical risk from the minimum average risk in a class of problems that includes signal identification against an additive noise background under conditions of a priori uncertainty, as well as certain other pattern-recognition problems.",

author = "Tsybakov, \{A. B.\}",

year = "1981",

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N2 - New nonasymptotic upper bounds are obtained for the probability of deviation of the minimum empirical risk from the minimum average risk in a class of problems that includes signal identification against an additive noise background under conditions of a priori uncertainty, as well as certain other pattern-recognition problems.

AB - New nonasymptotic upper bounds are obtained for the probability of deviation of the minimum empirical risk from the minimum average risk in a class of problems that includes signal identification against an additive noise background under conditions of a priori uncertainty, as well as certain other pattern-recognition problems.

M3 - Article

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JO - Problems of Information Transmission

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ERROR BOUNDS FOR THE METHOD OF MINIMIZATION OF EMPIRICAL RISK.

Résumé

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