Time efficient optimization of instance based problems with application to tone onset detection

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dc.contributor.authorBauer, Nadja
dc.contributor.authorFriedrichs, Klaus
dc.contributor.authorWeihs, Claus
dc.date.accessioned2016-12-14T14:08:04Z
dc.date.available2016-12-14T14:08:04Z
dc.date.issued2016
dc.description.abstractA time efficient optimization technique for instance based problems is proposed, where for each parameter setting the target function has to be evaluated on a large set of problem instances. Computational time is reduced by beginning with a performance estimation based on the evaluation of a representative subset of instances. Subsequently, only promising settings are evaluated on the whole data set. As application a comprehensive music onset detection algorithm is introduced where several numerical and categorical algorithm parameters are optimized simultaneously. Here, problem instances are music pieces of a data base. Sequential model based optimization is an appropriate technique to solve this optimization problem. The proposed optimization strategy is compared to the usual model based approach with respect to the goodness measure for tone onset detection. The performance of the proposed method appears to be competitive with the usual one while saving more than 84% of instance evaluation time on average. One other aspect is a comparison of two strategies for handling categorical parameters in Kriging based optimization.en
dc.identifier.urihttp://hdl.handle.net/2003/35698
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-17728
dc.language.isoende
dc.relation.ispartofseriesDiscussion Paper / SFB823;85, 2016en
dc.subjectmodel based optimizationen
dc.subjectcategorical parametersen
dc.subjectonset detectionen
dc.subjectKrigingen
dc.subjectinstance optimizationen
dc.subject.ddc310
dc.subject.ddc330
dc.subject.ddc620
dc.titleTime efficient optimization of instance based problems with application to tone onset detectionen
dc.typeTextde
dc.type.publicationtypeworkingPaperde
dcterms.accessRightsopen access

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