Titlebook: Neural Information Processing; 20th International C Minho Lee,Akira Hirose,Rhee Man Kil Conference proceedings 2013 Springer-Verlag Berlin

Sparkle

書目名稱Neural Information Processing影響因子(影響力)




書目名稱Neural Information Processing影響因子(影響力)學(xué)科排名




書目名稱Neural Information Processing網(wǎng)絡(luò)公開度




書目名稱Neural Information Processing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Neural Information Processing被引頻次




書目名稱Neural Information Processing被引頻次學(xué)科排名




書目名稱Neural Information Processing年度引用




書目名稱Neural Information Processing年度引用學(xué)科排名




書目名稱Neural Information Processing讀者反饋




書目名稱Neural Information Processing讀者反饋學(xué)科排名

小爭吵

attenuate

Kazushi Ikeda,Akira Hontanires and the R statistic language and environment for analyzing data and computing indicators. The proposed process was applied in the evaluation of the research project MUSES. The MUSES case study shows that the proposed process provides an easy and well supported path to the definition and implemen

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AMBI

Duzhou Zhang,Xibin Caores and the R statistic language and environment for analyzing data and computing indicators. The proposed process was applied in the evaluation of the research project MUSES. The MUSES case study shows that the proposed process provides an easy and well supported path to the definition and implemen

N斯巴達(dá)人

Between

哄騙

Xianneng Li,Wen He,Kotaro Hirasawa software shall later on be reused in another context. The new context may, for example, comprise additional sensors. In this situation, it is hard for developers to decide which input variables are still necessary and should somehow be monitored and which ones not. To avoid such problems, we sugges

發(fā)怨言

陳舊

Vikas K. Garg,Sneha Chaudhari,Ankur Narang existing approach. The approach greatly enhances balanced accuracy by 6.25%, AUC by 7.19%, and TPR by 16.78% in reopening prediction, improves accuracy by 7.71%, precision by 0.56%, recall by 10.96%, and F-measure by 6.27% in decision prediction, and reduces MMAE by 5.73% in lifetime prediction com