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Decision region approximation by polynomials or neural networks

dc.contributor.authorBlackmore, Kim
dc.contributor.authorWilliamson, Robert C.
dc.contributor.authorMareels, Iven M. Y.
dc.date.accessioned2011-12-14T03:45:11Z
dc.date.available2011-12-14T03:45:11Z
dc.date.issued1997-05
dc.date.updated2021-08-01T08:31:58Z
dc.description.abstractWe give degree of approximation results for decision regions which are defined by polynomial and neural network parametrizations. The volume of the misclassified region is used to measure the approximation error, and results for the degree of L1 approximation of functions are used. For polynomial parametrizations, we show that the degree of approximation is at least 1, whereas for neural network parametrizations we prove the slightly weaker result that the degree of approximation is at least r, where r can be any number in the open interval (0, 1).
dc.description.sponsorshipCopyright Information: http://www.sherpa.ac.uk/romeo/index34.php?la=en"Author can archive pre-print (ie pre-refereeing), post-print (ie final draft post-refereeing) [and]publisher's version/PDF" - from SHERPA/RoMEO site (as at 23/02/10)
dc.format5 pages
dc.identifier.issn0018-9448
dc.identifier.urihttp://hdl.handle.net/1885/8819
dc.publisherIEEE
dc.rightshttp://www.sherpa.ac.uk/romeo/index34.php?la=en "Author can archive pre-print (ie pre-refereeing), … post-print (ie final draft post-refereeing) [and] … publisher's version/PDF" - from SHERPA/RoMEO site (as at 23/02/10)
dc.sourceIEEE Transactions on Information Theory 43.3 (1997): 903-907
dc.subjectclassification, decision region, neural networks, polynomials, rate of approximation
dc.titleDecision region approximation by polynomials or neural networks
dc.typeJournal article
local.bibliographicCitation.issue3
local.bibliographicCitation.lastpage907
local.bibliographicCitation.startpage903
local.contributor.affiliationBlackmore, Kim, ANU, College of Engineering and Computer Science
local.contributor.affiliationWilliamson, Robert C., IEEE
local.contributor.affiliationMareels, Iven M. Y., IEEE
local.contributor.authoruidu4036671en_AU
local.identifier.absfor461199 - Machine learning not elsewhere classified
local.identifier.ariespublicationu4153526xPUB21
local.identifier.citationvolume43
local.identifier.doi10.1109/18.568700
local.identifier.scopusID2-s2.0-0031139265
local.identifier.thomsonIDA1997WV23300010
local.publisher.urlhttp://www.ieee.org/index.htmlen_AU
local.type.statusPublished Versionen_AU

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