Archiv des Autors: Igor Vatolkin

PPSN publication about feature selection by EA

The joint publication of the Faculty of Computational Statistics and Chair of the Algorithm Engineering (TU Dortmund) [1] was recently presented as poster at the PPSN conference in Krakow. Evolutionary strategy driven by asymmetric mutation and several hybridization methods were developed and compared for the feature selection task for … Weiterlesen

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New book about MIR

A new interesting book has been published recently at Springer: Ras, Zbigniew W.; Wieczorkowska, Alicja (Eds.): Advances in Music Information Retrieval (http://www.springer.com/engineering/mathematical/book/978-3-642-11673-5). It will be soon available in our library at Chair of Algorithm Engineering.

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Bug fixed

The mapping of song partitions to songs was not done correctly during the n-fold cross-validation; now this bug has been fixed. Please checkout the new AMUSE version!

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AMUSE beta 0.1 released

Just for the ISMIR 2010 conference we have uploaded to SourceForge the 0.1 beta version of AMUSE. It is available here: http://sourceforge.net/projects/amuse-framework/ Here is a screenshot with the AMUSE experiment table:

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Bachelor theses available

Bachelor theses in Music Information Retrieval available at Chair of Algorithm Engineering, TU Dortmund. Please contact me for further information: igor.vatolkin@tu-dortmund.de

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Project on multi-objective optimization of music classification started

The 3-year research project „Multi-objective optimization of music classification based on high-level features with Computational Intelligence methods“ was started on the 1st April 2009. The project is funded by Klaus Tschira Foundation.

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