About: Approximate Minimization of the Regularized Expected Error over Kernel Models

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Learning from data under constraints on model complexity is studied in terms of rates of approximate minimization of the regularized expected error functional. For kernel models with an increasing number n of kernel functions, upper bounds on such rates are derived. The bounds are of the form a/n+b/sqrt(n], where a and b depend on the regularization parameter and on properties of the kernel, and of the probability measure defining the expected error. As a special case, estimates of rates of approximate minimization of the regularized empirical error are derived. Learning from data under constraints on model complexity is studied in terms of rates of approximate minimization of the regularized expected error functional. For kernel models with an increasing number n of kernel functions, upper bounds on such rates are derived. The bounds are of the form a/n+b/sqrt(n], where a and b depend on the regularization parameter and on properties of the kernel, and of the probability measure defining the expected error. As a special case, estimates of rates of approximate minimization of the regularized empirical error are derived. (en) Učení na základě dat s omezením modelové složitosti je studováno pomocí rychlosti přibližné minimalizace regularizovaného funkcionálu očekávané chyby. Pro jádrové modely s rostoucím počtem n jádrových funkcí jsou odvozeny horní odhady této rychlosti. (cs)
Title	Approximate Minimization of the Regularized Expected Error over Kernel Models Přibližná minimalizace regularizovaného funkcionálu očekávané chyby na jádrových modelech (cs) Approximate Minimization of the Regularized Expected Error over Kernel Models (en)
skos:prefLabel	Approximate Minimization of the Regularized Expected Error over Kernel Models Přibližná minimalizace regularizovaného funkcionálu očekávané chyby na jádrových modelech (cs) Approximate Minimization of the Regularized Expected Error over Kernel Models (en)
skos:notation	RIV/67985807:_____/08:00043647!RIV09-AV0-67985807
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(GA201/05/0557), P(GA201/08/1744), Z(AV0Z10300504)
http://linked.open...iv/cisloPeriodika	3
http://linked.open...vai/riv/dodaniDat	2009
http://linked.open...aciTvurceVysledku	Kůrková, Věra
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Ústav informatiky AV ČR, v. v. i.
http://linked.open...dnocenehoVysledku	356869
http://linked.open...ai/riv/idVysledku	RIV/67985807:_____/08:00043647
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	suboptimal solutions; expected error; convex functionals; kernel methods; model complexity; rates of convergence (en)
http://linked.open.../riv/klicoveSlovo	model complexity suboptimal solutions convex functionals expected error rates of convergence kernel methods
http://linked.open...odStatuVydavatele	US - Spojené státy americké
http://linked.open...ontrolniKodProRIV	[140BCF1F6D52]
http://linked.open...i/riv/nazevZdroje	Mathematics of Operations Research
http://linked.open...in/vavai/riv/obor	BA
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Complexity of perceptron and kernel networks Approximation and learning of multivariable functions by neural networks and kernel methods
http://linked.open...UplatneniVysledku	2008
http://linked.open...v/svazekPeriodika	33
http://linked.open...iv/tvurceVysledku	Kůrková, Věra Sanguineti, M.
http://linked.open...ain/vavai/riv/wos	000258881200013
http://linked.open...n/vavai/riv/zamer	Informatika pro informační společnost: modely, algoritmy, aplikace
issn	0364-765X
number of pages	10 (xsd:int)

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