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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/77098
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dc.contributor.authorOliwa, T.-
dc.contributor.authorWagner, M.-
dc.contributor.editorMario Giacobini,-
dc.date.issued2008-
dc.identifier.citationApplications of evolutionary computing: EvoWorkshops 2008, EvoCOMNET, EvoFIN, EvoHOT, EvoIASP, EvoMUSART, EvoNUM, EvoSTOC, and EvoTransLog, Naples, Italy, March 26-28, 2008 : Proceedings, 2008: pp.503-508-
dc.identifier.isbn3540787607-
dc.identifier.isbn9783540787600-
dc.identifier.issn0302-9743-
dc.identifier.issn1611-3349-
dc.identifier.urihttp://hdl.handle.net/2440/77098-
dc.description.abstractIn this paper, biological (human) music composition systems based on Time Delay Neural Networks and Ward Nets and on a probabilistic Finite-State Machine will be presented. The systems acquire musical knowledge by inductive learning and are able to produce complete musical scores for multiple instruments and actual music in the MIDI format. The quality of our approaches is analyzed in objective and subjective manner with existing techniques. © 2008 Springer-Verlag Berlin Heidelberg.-
dc.description.statementofresponsibilityTomasz Oliwa and Markus Wagner-
dc.language.isoen-
dc.publisherSpringer-
dc.relation.ispartofseriesLecture Notes in Computer Science ; 4974-
dc.rights© Springer-Verlag Berlin Heidelberg 2008-
dc.source.urihttp://dx.doi.org/10.1007/978-3-540-78761-7_55-
dc.titleComposing music with neural networks and probabilistic finite-state machines-
dc.typeConference paper-
dc.contributor.conferenceEuropean Workshop on Evolutionary and Biologically Inspired Music, Sound, Art and Design (2008 : Naples, Italy)-
dc.identifier.doi10.1007/978-3-540-78761-7_55-
dc.publisher.placeNew York-
pubs.publication-statusPublished-
dc.identifier.orcidWagner, M. [0000-0002-3124-0061]-
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Computer Science publications

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