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dc.contributor.authorEllebrecht, Mariode
dc.contributor.authorMorik, Katharinade
dc.date.accessioned2004-12-06T12:53:37Z-
dc.date.available2004-12-06T12:53:37Z-
dc.date.created1995de
dc.date.issued1999-10-29de
dc.identifier.issn0943-4135de
dc.identifier.urihttp://hdl.handle.net/2003/2589-
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-5093-
dc.description.abstractMachine learning techniques offer opportunities for a variety of applications and the theory of machine learning investigates problems that are of interest for other fields of computer science (e.g., complexity theory, logic programming, pattern recognition). However, the impacts of machine learning can only be recognized by those who know the techniques and are able to apply them. Hence, teaching machine learning is necessary before this field can diversify computer science. In order to find out where machine learning is taught in which context and to what extent, MLnet has gathered data from several European countries. In this report, an incomplete overview of the training situation in Europe is given and a questionnaire for obtaining a more complete survey is proposed.en
dc.format.extent130854 bytes-
dc.format.extent944746 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/postscript-
dc.language.isoende
dc.publisherUniversität Dortmundde
dc.relation.ispartofseriesForschungsberichte des Lehrstuhls VIII, Fachbereich Informatik der Universität Dortmund ; 17de
dc.subject.ddc004de
dc.titleMLnet report: training in Europe on machine learningen
dc.typeTextde
dc.type.publicationtypereport-
dcterms.accessRightsopen access-
Appears in Collections:LS 08 Künstliche Intelligenz

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