Learning and Rewriting in Fuzzy Rule Graphs

Fischer, Ingrid; Koch, Manuel; Berthold, Michael R.

Learning and Rewriting in Fuzzy Rule Graphs

Dateien

Fischer_240751.pdfGröße: 171.65 KBDownloads: 329

Datum

2003

Autor:innen

Fischer, Ingrid

Koch, Manuel

Berthold, Michael R.

Publikationstyp

Beitrag zu einem Konferenzband

unikn.publication.listelement.citation.prefix.version.undefined

NAGL, Manfred, ed., Andreas SCHÜRR, ed., Manfred MÜNCH, ed.. Applications of Graph Transformations with Industrial Relevance. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003, pp. 263-271. ISBN 978-3-540-67658-4. Available under: doi: 10.1007/3-540-45104-8_21

Zusammenfassung

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.

Fachgebiet (DDC)

004 Informatik

Zitieren

ISO 690

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, 2003, pp. 263-271. ISBN 978-3-540-67658-4. Available under: doi: 10.1007/3-540-45104-8_21

BibTex

@inproceedings{Fischer2003-04-18Learn-24075,
  year={2003},
  doi={10.1007/3-540-45104-8_21},
  title={Learning and Rewriting in Fuzzy Rule Graphs},
  number={1779},
  isbn={978-3-540-67658-4},
  publisher={Springer Berlin Heidelberg},
  address={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: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/server/rdf/resource/123456789/24075">
    <dc:language>eng</dc:language>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:contributor>Berthold, Michael R.</dc:contributor>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/24075/1/Fischer_240751.pdf"/>
    <dc:rights>terms-of-use</dc:rights>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dcterms:issued>2003-04-18</dcterms:issued>
    <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/24075"/>
    <dc:creator>Fischer, Ingrid</dc:creator>
    <dcterms:title>Learning and Rewriting in Fuzzy Rule Graphs</dcterms:title>
    <dc:creator>Berthold, Michael R.</dc:creator>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:contributor>Fischer, Ingrid</dc:contributor>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/24075/1/Fischer_240751.pdf"/>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2013-07-18T08:57:37Z</dcterms:available>
    <dc:creator>Koch, Manuel</dc:creator>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2013-07-18T08:57:37Z</dc:date>
    <dc:contributor>Koch, Manuel</dc:contributor>
    <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>
    <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>
  </rdf:Description>
</rdf:RDF>

Universitätsbibliographie

Nein