Learning and Rewriting in Fuzzy Rule Graphs


Dateien zu dieser Ressource

Prüfsumme: MD5:ee12b4fb0a54a57ebf168bd41fa35a56

FISCHER, Ingrid, Manuel KOCH, Michael R. BERTHOLD, 2003. Learning and Rewriting in Fuzzy Rule Graphs. In: NAGL, Manfred, ed., Andreas SCHÜRR, ed., Manfred MÜNCH, ed.. Applications of Graph Transformations with Industrial Relevance. Berlin, Heidelberg:Springer Berlin Heidelberg, pp. 263-271. ISBN 978-3-540-67658-4

@inproceedings{Fischer2003-04-18Learn-24075, title={Learning and Rewriting in Fuzzy Rule Graphs}, year={2003}, doi={10.1007/3-540-45104-8_21}, number={1779}, isbn={978-3-540-67658-4}, address={Berlin, Heidelberg}, publisher={Springer Berlin Heidelberg}, series={Lecture Notes in Computer Science}, booktitle={Applications of Graph Transformations with Industrial Relevance}, pages={263--271}, editor={Nagl, Manfred and Schürr, Andreas and Münch, Manfred}, author={Fischer, Ingrid and Koch, Manuel and Berthold, Michael R.} }

<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/24075"> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2013-07-18T08:57:37Z</dc:date> <dc:rights>deposit-license</dc:rights> <dc:creator>Berthold, Michael R.</dc:creator> <dcterms:abstract xml:lang="eng">Different learning algorithms based on learning from examples are described based on a set of graph rewrite rules. Starting from either a very general or a very special rule set which is modeled as graph, two to three basic rewrite rules are applied until a rule graph explaining all examples is reached. The rewrite rules can also be used to model the corresponding hypothesis space as they describe partial relations between different rule set graphs. The possible paths, algorithms can take through the hypothesis space can be described as application sequences. This schema is applied to general learning algorithms as well as to fuzzy rule learning algorithms.</dcterms:abstract> <dc:contributor>Berthold, Michael R.</dc:contributor> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/24075"/> <dc:contributor>Fischer, Ingrid</dc:contributor> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2013-07-18T08:57:37Z</dcterms:available> <dc:contributor>Koch, Manuel</dc:contributor> <dcterms:rights rdf:resource="http://nbn-resolving.org/urn:nbn:de:bsz:352-20140905103605204-4002607-1"/> <dcterms:issued>2003-04-18</dcterms:issued> <dc:language>eng</dc:language> <dcterms:bibliographicCitation>Applications of graph transformations with industrial relevance : International Workshop, AGTIVE '99, Kerkrade, The Netherlands, September 1 - 3, 1999; proceedings / Manfred Nagl ... (ed.). - Berlin [u.a.] : Springer, 2000. - S. 263-271. - (Lecture notes in computer science ; 1779). - ISBN 3-540-67658-9</dcterms:bibliographicCitation> <dc:creator>Fischer, Ingrid</dc:creator> <dc:creator>Koch, Manuel</dc:creator> <dcterms:title>Learning and Rewriting in Fuzzy Rule Graphs</dcterms:title> </rdf:Description> </rdf:RDF>

Dateiabrufe seit 01.10.2014 (Informationen über die Zugriffsstatistik)

Fischer_240751.pdf 58

Das Dokument erscheint in:

KOPS Suche


Mein Benutzerkonto