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樓主
發(fā)表于 2025-3-21 17:34:18 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Granular Computing in Decision Approximation
編輯Lech Polkowski,Piotr Artiemjew
視頻videohttp://file.papertrans.cn/388/387858/387858.mp4
叢書名稱Intelligent Systems Reference Library
圖書封面Titlebook: ;
出版日期Book 2015
版次1
doihttps://doi.org/10.1007/978-3-319-12880-1
isbn_softcover978-3-319-36621-0
isbn_ebook978-3-319-12880-1Series ISSN 1868-4394 Series E-ISSN 1868-4408
issn_series 1868-4394
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沙發(fā)
發(fā)表于 2025-3-21 21:05:16 | 只看該作者
Marc-Thorsten Hütt,Manuel Dehnertrategy, see Sect.?., on the accuracy of the respective classifier. As observed in Chaps.?. and ?., we are at liberty in selecting the strategy . which defines the method of choice of a covering of the universe of the data set with granules.
板凳
發(fā)表于 2025-3-22 03:24:55 | 只看該作者
地板
發(fā)表于 2025-3-22 07:14:04 | 只看該作者
Covering Strategies,rategy, see Sect.?., on the accuracy of the respective classifier. As observed in Chaps.?. and ?., we are at liberty in selecting the strategy . which defines the method of choice of a covering of the universe of the data set with granules.
5#
發(fā)表于 2025-3-22 09:49:54 | 只看該作者
6#
發(fā)表于 2025-3-22 13:31:01 | 只看該作者
7#
發(fā)表于 2025-3-22 19:58:53 | 只看該作者
Petrinetze als Beschreibungsmittel,In this chapter, we recall basic facts about data classifiers in machine learning. Our survey is focused on Bayes and kNN classifiers which are employed in our experiments. Some basic facts form Computational Learning Theory are followed by an account of classifiers in real decision systems, mostly elaborated within Rough Set Theory.
8#
發(fā)表于 2025-3-22 21:36:14 | 只看該作者
Lebensereignisse: überg?nge im LebenslaufIn this chapter, we intend to introduce the reader into the realm of granular reflections induced from decision systems by means of similarity relations being rough inclusions or their weaker variants.
9#
發(fā)表于 2025-3-23 02:17:03 | 只看該作者
10#
發(fā)表于 2025-3-23 08:38:28 | 只看該作者
Methoden der Fehler- und AusgleichsrechnungIn this chapter, we study the performance of Bayes classifier on granular structures. From results in Table ., we infer that Bayes classifier is well suited for granular cases as for most tested data its accuracy in best cases is better in granulated cases then in non-granulated ones.
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