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AuthorThom, Markusdc.contributor.author
AuthorPalm, Guentherdc.contributor.author
Date of accession2020-10-16T07:00:53Zdc.date.accessioned
Available in OPARU since2020-10-16T07:00:53Zdc.date.available
Date of first publication2013dc.date.issued
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
Keywordsupervised learningdc.subject
Keywordsparseness projectiondc.subject
Keywordsparse activitydc.subject
Keywordsparse connectivitydc.subject
KeywordNONNEGATIVE MATRIX FACTORIZATIONdc.subject
KeywordPYRAMIDAL NEURONSdc.subject
KeywordVISUAL-CORTEXdc.subject
KeywordALGORITHMdc.subject
KeywordREPRESENTATIONSdc.subject
KeywordCODEdc.subject
KeywordPROJECTIONSdc.subject
KeywordEFFICIENTdc.subject
KeywordNETWORKSdc.subject
KeywordMODELdc.subject
Dewey Decimal GroupDDC 000 / Computer science, information & general worksdc.subject.ddc
Dewey Decimal GroupDDC 600 / Technology (Applied sciences)dc.subject.ddc
TitleSparse Activity and Sparse Connectivity in Supervised Learningdc.title
Resource typeWissenschaftlicher Artikeldc.type
FacultyFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.affiliationGeneral
InstitutionInstitut für Mess-, Regel- und Mikrotechnikuulm.affiliationSpecific
InstitutionInstitut für Neuroinformatikuulm.affiliationSpecific
DCMI TypeTextuulm.typeDCMI
CategoryPublikationsnachweiseuulm.category
Source - Title of sourceJournal of machine learning researchsource.title
Source - Place of publicationMIT Presssource.publisher
Source - Volume14source.volume
Source - Year2013source.year
Source - From page1091source.fromPage
Source - To page1143source.toPage
Source - ISSN1532-4435source.identifier.issn
Source - eISSN1533-7928source.identifier.eissn
CommunityFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.community
WoS000318590500011uulm.identifier.wos
Bibliographyuulmuulm.bibliographie


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