On the mean squared error of Hierarchical Estimator

doi:10.4467/20838476SI.11.004.0290

On the mean squared error of Hierarchical Estimator

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On the mean squared error of Hierarchical Estimator

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dc.contributor.author	Brodowski, Stanisław [SAP14010292]	pl
dc.date.accessioned	2019-06-12T06:43:59Z
dc.date.available	2019-06-12T06:43:59Z
dc.date.issued	2011	pl
dc.identifier.issn	1732-3916	pl
dc.identifier.uri	https://ruj.uj.edu.pl/xmlui/handle/item/77028
dc.language	eng	pl
dc.rights	Dozwolony użytek utworów chronionych	*
dc.rights.uri	http://ruj.uj.edu.pl/4dspace/License/copyright/licencja_copyright.pdf	*
dc.title	On the mean squared error of Hierarchical Estimator	pl
dc.type	JournalArticle	pl
dc.description.physical	83-99	pl
dc.identifier.weblink	http://www.ejournals.eu/Schedae-Informaticae/2011/Volume-20/art/1207/	pl
dc.abstract.en	In this paper a new theorem about components of the mean squared error of Hierarchical Estimator is presented. Hierarchical Estimator is a machine learning meta-algorithm that attempts to build, in an incremental and hierarchical manner, a tree of relatively simple function estimators and combine their results to achieve better accuracy than any of the individual ones. The components of the error of a node of such a tree are: weighted mean of the error of the estimator in a node and the errors of children, a non-positive term that descreases below 0 if children responses on any example dier and a term representing relative quality of an internal weighting function, which can be conservatively kept at 0 if needed. Guidelines for achieving good results based on the theorem are brie discussed.	pl
dc.subject.en	Hierarchial Estimator	pl
dc.subject.en	hierarchical model	pl
dc.subject.en	regression	pl
dc.subject.en	function approximation	pl
dc.subject.en	classifier error	pl
dc.description.volume	20	pl
dc.identifier.doi	10.4467/20838476SI.11.004.0290	pl
dc.identifier.eissn	2083-8476	pl
dc.title.journal	Schedae Informaticae	pl
dc.language.container	eng	pl
dc.date.accession	2019-06-12	pl
dc.affiliation	Wydział Fizyki, Astronomii i Informatyki Stosowanej	pl
dc.subtype	Article	pl
dc.rights.original	OTHER; otwarte czasopismo; ostateczna wersja wydawcy; w momencie opublikowania; 0	pl
dc.identifier.project	ROD UJ / OP	pl
.pointsMNiSW	[2011 B]: 6