Matches in SemOpenAlex for { <https://semopenalex.org/work/W2034526008> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W2034526008 endingPage "1543" @default.
- W2034526008 startingPage "1517" @default.
- W2034526008 abstract "Gaussian ARTMAP (GAM) is a supervised-learning adaptive resonance theory (ART) network that uses gaussian-defined receptive fields. Like other ART networks, GAM incrementally learns and constructs a representation of sufficient complexity to solve a problem it is trained on. GAM's representation is a gaussian mixture model of the input space, with learned mappings from the mixture components to output classes. We show a close relationship between GAM and the well-known expectation-maximization (EM) approach to mixture modeling. GAM outper forms an EM classification algorithm on three classification benchmarks, thereby demonstrating the advantage of the ART match criterion for regulating learning and the ARTMAP match tracking operation for incorporating environmental feedback in supervised learning situations." @default.
- W2034526008 created "2016-06-24" @default.
- W2034526008 creator A5036490053 @default.
- W2034526008 date "1997-10-01" @default.
- W2034526008 modified "2023-10-17" @default.
- W2034526008 title "A Constructive, Incremental-Learning Network for Mixture Modeling and Classification" @default.
- W2034526008 cites W1967011375 @default.
- W2034526008 cites W1982610692 @default.
- W2034526008 cites W2010150441 @default.
- W2034526008 cites W2012611887 @default.
- W2034526008 cites W2015857587 @default.
- W2034526008 cites W2088695164 @default.
- W2034526008 cites W2134199473 @default.
- W2034526008 cites W2144219012 @default.
- W2034526008 cites W4247777826 @default.
- W2034526008 doi "https://doi.org/10.1162/neco.1997.9.7.1517" @default.
- W2034526008 hasPublicationYear "1997" @default.
- W2034526008 type Work @default.
- W2034526008 sameAs 2034526008 @default.
- W2034526008 citedByCount "32" @default.
- W2034526008 countsByYear W20345260082012 @default.
- W2034526008 countsByYear W20345260082013 @default.
- W2034526008 countsByYear W20345260082020 @default.
- W2034526008 crossrefType "journal-article" @default.
- W2034526008 hasAuthorship W2034526008A5036490053 @default.
- W2034526008 hasConcept C105795698 @default.
- W2034526008 hasConcept C111919701 @default.
- W2034526008 hasConcept C115755159 @default.
- W2034526008 hasConcept C119857082 @default.
- W2034526008 hasConcept C121332964 @default.
- W2034526008 hasConcept C126255220 @default.
- W2034526008 hasConcept C153180895 @default.
- W2034526008 hasConcept C154945302 @default.
- W2034526008 hasConcept C163716315 @default.
- W2034526008 hasConcept C17744445 @default.
- W2034526008 hasConcept C182081679 @default.
- W2034526008 hasConcept C199539241 @default.
- W2034526008 hasConcept C2776330181 @default.
- W2034526008 hasConcept C2776359362 @default.
- W2034526008 hasConcept C2778701210 @default.
- W2034526008 hasConcept C33923547 @default.
- W2034526008 hasConcept C41008148 @default.
- W2034526008 hasConcept C49781872 @default.
- W2034526008 hasConcept C50644808 @default.
- W2034526008 hasConcept C61224824 @default.
- W2034526008 hasConcept C61326573 @default.
- W2034526008 hasConcept C62520636 @default.
- W2034526008 hasConcept C94625758 @default.
- W2034526008 hasConcept C98045186 @default.
- W2034526008 hasConceptScore W2034526008C105795698 @default.
- W2034526008 hasConceptScore W2034526008C111919701 @default.
- W2034526008 hasConceptScore W2034526008C115755159 @default.
- W2034526008 hasConceptScore W2034526008C119857082 @default.
- W2034526008 hasConceptScore W2034526008C121332964 @default.
- W2034526008 hasConceptScore W2034526008C126255220 @default.
- W2034526008 hasConceptScore W2034526008C153180895 @default.
- W2034526008 hasConceptScore W2034526008C154945302 @default.
- W2034526008 hasConceptScore W2034526008C163716315 @default.
- W2034526008 hasConceptScore W2034526008C17744445 @default.
- W2034526008 hasConceptScore W2034526008C182081679 @default.
- W2034526008 hasConceptScore W2034526008C199539241 @default.
- W2034526008 hasConceptScore W2034526008C2776330181 @default.
- W2034526008 hasConceptScore W2034526008C2776359362 @default.
- W2034526008 hasConceptScore W2034526008C2778701210 @default.
- W2034526008 hasConceptScore W2034526008C33923547 @default.
- W2034526008 hasConceptScore W2034526008C41008148 @default.
- W2034526008 hasConceptScore W2034526008C49781872 @default.
- W2034526008 hasConceptScore W2034526008C50644808 @default.
- W2034526008 hasConceptScore W2034526008C61224824 @default.
- W2034526008 hasConceptScore W2034526008C61326573 @default.
- W2034526008 hasConceptScore W2034526008C62520636 @default.
- W2034526008 hasConceptScore W2034526008C94625758 @default.
- W2034526008 hasConceptScore W2034526008C98045186 @default.
- W2034526008 hasIssue "7" @default.
- W2034526008 hasLocation W20345260081 @default.
- W2034526008 hasOpenAccess W2034526008 @default.
- W2034526008 hasPrimaryLocation W20345260081 @default.
- W2034526008 hasRelatedWork W1505865477 @default.
- W2034526008 hasRelatedWork W2014842417 @default.
- W2034526008 hasRelatedWork W2077224612 @default.
- W2034526008 hasRelatedWork W2153481672 @default.
- W2034526008 hasRelatedWork W2368486525 @default.
- W2034526008 hasRelatedWork W2473373438 @default.
- W2034526008 hasRelatedWork W2891133681 @default.
- W2034526008 hasRelatedWork W4312864369 @default.
- W2034526008 hasRelatedWork W805531662 @default.
- W2034526008 hasRelatedWork W84255947 @default.
- W2034526008 hasVolume "9" @default.
- W2034526008 isParatext "false" @default.
- W2034526008 isRetracted "false" @default.
- W2034526008 magId "2034526008" @default.
- W2034526008 workType "article" @default.