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Adaptive procedure
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Bouligand influence function
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Dimension reduction
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Heavy tails
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Advances in Data Analysis and Classification
Technical report / Sonderforschungsbereich 475 Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund
37
Technical Report
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Technical Reports / Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund
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Allgemeines statistisches Archiv : AStA ; journal of the German Statistical Society
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Effektives Customer Relationship Management : Instrumente - Einführungskonzepte - Organisation
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International journal of business process integration and management : IJBPIM
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Journal of Multivariate Analysis
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Argumenta oeconomica
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Business information systems : 13th international conference, BIS 2010, Berlin, Germany, May 3 - 5, 2010 ; proceedings
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Classification - the ubiquitous challenge : proceedings of the 28th annual conference of the Gesellschaft für Klassifikation e.V., University of Dortmund, March 9 - 11, 2004 ; with 108 tables
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Classification and clustering in business cycle analysis
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Empirische Wirtschaftsforschung heute : Festschrift für Ullrich Heilemann zum 65. Geburtstag
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FOM-Edition, FOM Hochschule für Oekonomie & Management
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Markt- und Absatzprognosen : Modelle, Methoden, Anwendung
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Megatrends aus Sicht der Volkswirtschaftslehre : demografischer Wandel - Globalisierung & Umwelt - Digitalisierung
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Produktions- und Informationsmanagement : Festschrift für Prof. Dr. Stephan Zelewski
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Wirtschafts- und sozialstatistisches Archiv : eine Zeitschrift der Deutschen Statistischen Gesellschaft
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Wirtschaftswissenschaftliches Studium : WiSt ; Zeitschrift für Studium und Forschung
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Linear dimension reduction in classification: adaptive procedure for optimum results
Luebke, Karsten
;
Weihs, Claus
- In:
Advances in Data Analysis and Classification
5
(
2011
)
3
,
pp. 201-213
Persistent link: https://www.econbiz.de/10009324947
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2
A review on consistency and robustness properties of support vector machines for heavy-tailed distributions
Messem, Arnout Van
;
Christmann, Andreas
- In:
Advances in Data Analysis and Classification
4
(
2010
)
2
,
pp. 199-220
Persistent link: https://www.econbiz.de/10008674106
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