Empirical Risk Minimization

Xinhua Zhang

doi:10.1007/978-0-387-30164-8_251

Empirical Risk Minimization

Xinhua Zhang

Research output: Chapter in Book/Report/Conference proceeding › Entry for encyclopedia/dictionary › peer-review

Abstract

The goal of learning is usually to find a model which delivers good generalization performance over an underlying distribution of the data.

Original language	English
Title of host publication	Encyclopedia of Machine Learning
Editors	Claude Sammut & Geoffrey I.Webb
Place of Publication	New York
Publisher	Springer
Pages	1
Volume	6
ISBN (Print)	9780387307688
DOIs	https://doi.org/10.1007/978-0-387-30164-8_251
Publication status	Published - 2010

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10.1007/978-0-387-30164-8_251

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title = "Empirical Risk Minimization",

abstract = "The goal of learning is usually to find a model which delivers good generalization performance over an underlying distribution of the data.",

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AB - The goal of learning is usually to find a model which delivers good generalization performance over an underlying distribution of the data.

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M3 - Entry for encyclopedia/dictionary

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BT - Encyclopedia of Machine Learning

A2 - null, Claude Sammut & Geoffrey I.Webb

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ER -

Empirical Risk Minimization

Abstract

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