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Boosting any learning algorithm with Statistically Enhanced Learning

Boosting any learning algorithm with Statistically Enhanced Learning

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_13ebdc0aee8c4b6cb00c565e70cf795a

Boosting any learning algorithm with Statistically Enhanced Learning

About this item

Full title

Boosting any learning algorithm with Statistically Enhanced Learning

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2025-01, Vol.15 (1), p.1605-11, Article 1605

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Feature engineering is of critical importance in the field of Data Science. While any data scientist knows the importance of rigorously preparing data to obtain good performing models, only scarce literature formalizes its benefits. In this work, we present the method of Statistically Enhanced Learning (SEL), a formalization framework of existing f...

Alternative Titles

Full title

Boosting any learning algorithm with Statistically Enhanced Learning

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_13ebdc0aee8c4b6cb00c565e70cf795a

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_13ebdc0aee8c4b6cb00c565e70cf795a

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-024-84702-8

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