Supervised Learning in Parallel Universes using Neighborgrams

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WISWEDEL, Bernd, Michael BERTHOLD, 2011. Supervised Learning in Parallel Universes using Neighborgrams. In: GAMA, João, ed., Elizabeth BRADLEY, ed., Jaakko HOLLMÉN, ed.. Advances in Intelligent Data Analysis X. Berlin, Heidelberg:Springer Berlin Heidelberg, pp. 388-400. ISBN 978-3-642-24799-6. Available under: doi: 10.1007/978-3-642-24800-9_36

@inproceedings{Wiswedel2011Super-19324, title={Supervised Learning in Parallel Universes using Neighborgrams}, year={2011}, doi={10.1007/978-3-642-24800-9_36}, number={7014}, isbn={978-3-642-24799-6}, address={Berlin, Heidelberg}, publisher={Springer Berlin Heidelberg}, series={Lecture Notes in Computer Science}, booktitle={Advances in Intelligent Data Analysis X}, pages={388--400}, editor={Gama, João and Bradley, Elizabeth and Hollmén, Jaakko}, author={Wiswedel, Bernd and Berthold, Michael} }

<rdf:RDF xmlns:dcterms="" xmlns:dc="" xmlns:rdf="" xmlns:bibo="" xmlns:dspace="" xmlns:foaf="" xmlns:void="" xmlns:xsd="" > <rdf:Description rdf:about=""> <dc:creator>Wiswedel, Bernd</dc:creator> <dc:contributor>Wiswedel, Bernd</dc:contributor> <dc:contributor>Berthold, Michael</dc:contributor> <dcterms:available rdf:datatype="">2012-05-22T09:11:57Z</dcterms:available> <dcterms:rights rdf:resource=""/> <dcterms:bibliographicCitation>Advances in intelligent data analysis X : 10th international symposium, IDA 2011, Porto, Portugal, October 29 - 31, 2011 ; proceedings / João Gama... (eds.). - Heidelberg [u.a.] : Springer, 2011. - S. 388-400. - (Lecture notes in computer science ; 7014). - ISBN 978-3-642-24799-6</dcterms:bibliographicCitation> <dspace:hasBitstream rdf:resource=""/> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dcterms:title>Supervised Learning in Parallel Universes using Neighborgrams</dcterms:title> <dc:creator>Berthold, Michael</dc:creator> <dcterms:hasPart rdf:resource=""/> <dspace:isPartOfCollection rdf:resource=""/> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dc:language>eng</dc:language> <dcterms:isPartOf rdf:resource=""/> <bibo:uri rdf:resource=""/> <dc:date rdf:datatype="">2012-05-22T09:11:57Z</dc:date> <dcterms:abstract xml:lang="eng">We present a supervised method for Learning in Parallel Universes, i.e. problems given in multiple descriptor spaces. The goal is the construction of local models in individual universes and their fusion to a superior global model that comprises all the available information from the given universes. We employ a predictive clustering approach using Neighborgrams, a one-dimensional data structure for the neighborhood of a single object in a universe. We also present an intuitive visualization, which allows for interactive model construction and visual comparison of cluster neighborhoods across universes.</dcterms:abstract> <dcterms:issued>2011</dcterms:issued> <dc:rights>terms-of-use</dc:rights> </rdf:Description> </rdf:RDF>

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