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Titlebook: Marktkommunikation; Ein interdisziplin?r Werner L?ber Book 1973 Springer Fachmedien Wiesbaden 1973 Absatz.Kommunikation.Konsum.Marketing.Ma

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發(fā)表于 2025-3-23 10:11:32 | 只看該作者
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發(fā)表于 2025-3-23 15:35:29 | 只看該作者
Werner L?beric reasoning formalisms (e.g., Levesque showed [6] that autoepistemic logic can be embeded in OL). This is accomplished by finding the connection between OL and MBNF, the logic of . proposed by Lifschitz [8, 9], which is known to have close relationship with logic programming and other non-monotonic
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Werner L?berility of SascB and Boosting, and further increase their average accuracy. It generates multiple committees by incorporating Bagging into SascB. As well as improving stability and average accuracy, the resulting method is amenable to parallel or distributed processing, while Boosting and SascB are no
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發(fā)表于 2025-3-24 06:40:17 | 只看該作者
Werner L?ber independent of the core mining process, and so can be easily implemented with any specific technique for association rule mining. In our experiments using controlled datasets, we found that we could get up to 98._3% accuracy with our techniques as opposed to 26.6% when directly using the results of
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發(fā)表于 2025-3-24 14:15:32 | 只看該作者
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發(fā)表于 2025-3-24 15:39:23 | 只看該作者
Werner L?ber independent of the core mining process, and so can be easily implemented with any specific technique for association rule mining. In our experiments using controlled datasets, we found that we could get up to 98._3% accuracy with our techniques as opposed to 26.6% when directly using the results of
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發(fā)表于 2025-3-24 20:55:49 | 只看該作者
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