Titlebook: ;

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書目名稱Granular Computing in Decision Approximation影響因子(影響力)




書目名稱Granular Computing in Decision Approximation影響因子(影響力)學(xué)科排名




書目名稱Granular Computing in Decision Approximation網(wǎng)絡(luò)公開度




書目名稱Granular Computing in Decision Approximation網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Granular Computing in Decision Approximation被引頻次




書目名稱Granular Computing in Decision Approximation被引頻次學(xué)科排名




書目名稱Granular Computing in Decision Approximation年度引用




書目名稱Granular Computing in Decision Approximation年度引用學(xué)科排名




書目名稱Granular Computing in Decision Approximation讀者反饋




書目名稱Granular Computing in Decision Approximation讀者反饋學(xué)科排名

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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.

MIR

一窩小鳥

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.

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搏斗

搏斗

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.

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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.

國(guó)家明智

樹木中

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.