KOPS - Das Institutionelle Repositorium der Universität Konstanz

Universal discrete-time reservoir computers with stochastic inputs and linear readouts using non-homogeneous state-affine systems

Universal discrete-time reservoir computers with stochastic inputs and linear readouts using non-homogeneous state-affine systems

Zitieren

Dateien zu dieser Ressource

Prüfsumme: MD5:cf569e33a1eea5c90a97b82434387c11

GRIGORYEVA, Lyudmila, Juan-Pablo ORTEGA, 2018. Universal discrete-time reservoir computers with stochastic inputs and linear readouts using non-homogeneous state-affine systems. In: Journal of Machine Learning Research : JMLR. 19, 24. ISSN 1532-4435. eISSN 1533-7928

@article{Grigoryeva2018Unive-43336, title={Universal discrete-time reservoir computers with stochastic inputs and linear readouts using non-homogeneous state-affine systems}, url={http://jmlr.org/papers/v19/18-020.html}, year={2018}, volume={19}, issn={1532-4435}, journal={Journal of Machine Learning Research : JMLR}, author={Grigoryeva, Lyudmila and Ortega, Juan-Pablo}, note={Article Number: 24} }

<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/43336"> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dcterms:title>Universal discrete-time reservoir computers with stochastic inputs and linear readouts using non-homogeneous state-affine systems</dcterms:title> <dc:creator>Ortega, Juan-Pablo</dc:creator> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/43336"/> <dc:creator>Grigoryeva, Lyudmila</dc:creator> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/39"/> <dc:contributor>Ortega, Juan-Pablo</dc:contributor> <dc:contributor>Grigoryeva, Lyudmila</dc:contributor> <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/43336/1/Grigoryeva_2-xm98wdho94pe1.pdf"/> <dcterms:rights rdf:resource="https://kops.uni-konstanz.de/page/termsofuse"/> <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/43336/1/Grigoryeva_2-xm98wdho94pe1.pdf"/> <dcterms:issued>2018</dcterms:issued> <dc:rights>terms-of-use</dc:rights> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/39"/> <dc:language>eng</dc:language> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2018-09-20T12:31:13Z</dc:date> <dcterms:abstract xml:lang="eng">A new class of non-homogeneous state-affine systems is introduced for use in reservoir computing. Sufficient conditions are identified that guarantee first, that the associated reservoir computers with linear readouts are causal, time-invariant, and satisfy the fading memory property and second, that a subset of this class is universal in the category of fading memory filters with stochastic almost surely uniformly bounded inputs. This means that any discrete-time filter that satisfies the fading memory property with random inputs of that type can be uniformly approximated by elements in the non-homogeneous state-affine family.</dcterms:abstract> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2018-09-20T12:31:13Z</dcterms:available> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> </rdf:Description> </rdf:RDF>

Dateiabrufe seit 20.09.2018 (Informationen über die Zugriffsstatistik)

Grigoryeva_2-xm98wdho94pe1.pdf 27

Das Dokument erscheint in:

KOPS Suche


Stöbern

Mein Benutzerkonto