Difference between revisions of "Publications:Combining traditional and neural-based techniques for ink feed control in a newspaper printing press"
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{{PublicationSetupTemplate|Author=Cristofer Englund, Antanas Verikas | {{PublicationSetupTemplate|Author=Cristofer Englund, Antanas Verikas | ||
|PID=238286 | |PID=238286 | ||
| − | |Name=Englund, Cristofer | + | |Name=Englund, Cristofer (crieng) (0000-0002-1043-8773) (Högskolan i Halmstad (2804), Akademin för informationsteknologi (16904), Halmstad Embedded and Intelligent Systems Research (EIS) (3938), Intelligenta system (IS-lab) (3941));Verikas, Antanas (av) (0000-0003-2185-8973) (Högskolan i Halmstad (2804), Akademin för informationsteknologi (16904), Halmstad Embedded and Intelligent Systems Research (EIS) (3938), Intelligenta system (IS-lab) (3941)) |
|Title=Combining traditional and neural-based techniques for ink feed control in a newspaper printing press | |Title=Combining traditional and neural-based techniques for ink feed control in a newspaper printing press | ||
|PublicationType=Conference Paper | |PublicationType=Conference Paper | ||
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|CreatedDate=2007-12-28 | |CreatedDate=2007-12-28 | ||
|PublicationDate=2007-12-28 | |PublicationDate=2007-12-28 | ||
| − | |LastUpdated= | + | |LastUpdated=2016-02-24 |
|diva=http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:238286}} | |diva=http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:238286}} | ||
<div style='display: none'> | <div style='display: none'> | ||
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| Title | Combining traditional and neural-based techniques for ink feed control in a newspaper printing press |
|---|---|
| Author | |
| Year | 2007 |
| PublicationType | Conference Paper |
| Journal | |
| HostPublication | Advances in Data Mining : Theoretical Aspects and Applications, Proceedings |
| Conference | 7th Industrial Conference on Data Mining, Leipzig, GERMANY, JUL 14-18, 2007 |
| DOI | http://dx.doi.org/10.1007/11427391_73 |
| Diva url | http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:238286 |
| Abstract | A SOM based model combination strategy, allowing to create adaptive – data dependent – committees, is proposed. Both, models included into a committee and aggregation weights are specific for each input data point analyzed. The possibility to detect outliers is one more characteristic feature of the strategy. |
