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model dataset algorithm decision network number mailing function problem method value error section target brand customer price figure example class regression prediction system table data sets auction weight classi classification decision trees state kappa marketing result training curve input response ensemble parameter selection probability information performance decision tree report element management split feature space experiment instance cation graph vector choice paper theorem variable research classifier variance approach description distribution support importance effect group interval roc curve prediction error target selection regression trees bayesian scenario policy extension ordinal
10 Most Recent Publications
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Dilworth's Theorem Revisited, an Algorithmic Proof
(Research Paper)
Pijls, W.H.L.M. Potharst, R. |
2011-04-27
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AUK: a simple alternative to the AUC
(Research Paper)
Kaymak, U. Ben-David, A. Potharst, R. |
2010-06-01
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Two algorithms for generating structured and unstructured monotone ordinal data sets
(Article)
Potharst, R. Wezel, M.C. van Ben-David, A. |
2009-06-01
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A support system for predicting eBay end prices
(Article)
Heijst, D.P. van Potharst, R. Wezel, M.C. van |
2008-03-01
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A support system for predicting eBay end prices.
(Research Paper)
Heijst, D.P. van Potharst, R. Wezel, M.C. van |
2006-10-25
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Boosting the accuracy of hedonic pricing models
(Research Paper)
Wezel, M.C. van Kagie, M. Potharst, R. |
2005-12-02
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Generating artificial data with monotonicity constraints
(Research Paper)
Potharst, R. Wezel, M.C. van |
2005-03-11
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Modeling brand choice using boosted and stacked neural networks
(Research Paper)
Potharst, R. Rijthoven, M. van Wezel, M.C. van |
2005-03-10
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Improved customer choice predictions using ensemble methods
(Research Paper)
Wezel, M.C. van Potharst, R. |
2005-03-08
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Direct Mailing Decisions for a Dutch Fundraiser
(Research Paper)
Jonker, J-J. Piersma, N. Potharst, R. |
2002-12-02
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