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Machine learning / Model selection / Statistical classification / Cross-validation / Least squares / Support vector machine / Degrees of freedom / Loss function / Cholesky decomposition / Statistics / Regression analysis / Econometrics


Leave-One-Out Cross-Validation Based Model Selection Criteria for Weighted LS-SVMs Gavin C. Cawley School of Computing Sciences University of East Anglia Norwich NR4 7TJ
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Document Date: 2012-09-05 05:12:54

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File Size: 130,48 KB

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City

Washington / DC / San Mateo / GINA / Norwich / Chongquing / New York / /

Company

World Scientific / Mead / N. L. C. / Neural Networks / SIAM Press / /

Country

United States / China / /

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Facility

Computing Sciences University of East Anglia / /

IndustryTerm

by-product / pre-processing steps / inner product / basic training algorithm / challenge web-site / pre-processing / /

MarketIndex

HIVA / FIVE CHALLENGE / /

MusicGroup

CHOICE / SUBMISSION / /

Organization

Weighted LS-SVMs Gavin C. Cawley School / Computing Sciences University / University of East Anglia / /

Person

Nicola Talbot / ADA GINA HIVA NOVA SYLVA / T. Van Gestel / NOVA SYLVA / John Wiley / ADA GINA HIVA / Morgan Kaufmann / Training Weighted Selection Kernel ADA GINA HIVA NOVA SYLVA / /

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Position

author / model development stage / ACKNOWLEDGEMENTS The author / RT / straight-forward / representative / /

ProgrammingLanguage

MATLAB / DC / C / /

ProvinceOrState

California / New York / /

PublishedMedium

Lecture Notes in Computer Science / /

Technology

training algorithm / SYMINV algorithm / basic training algorithm / cmp / /

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