Titlebook: Analysis of Large and Complex Data; Adalbert F.X. Wilhelm,Hans A. Kestler Conference proceedings 2016 Springer International Publishing Sw

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書目名稱Analysis of Large and Complex Data影響因子(影響力)




書目名稱Analysis of Large and Complex Data影響因子(影響力)學(xué)科排名




書目名稱Analysis of Large and Complex Data網(wǎng)絡(luò)公開度




書目名稱Analysis of Large and Complex Data網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Analysis of Large and Complex Data被引頻次




書目名稱Analysis of Large and Complex Data被引頻次學(xué)科排名




書目名稱Analysis of Large and Complex Data年度引用




書目名稱Analysis of Large and Complex Data年度引用學(xué)科排名




書目名稱Analysis of Large and Complex Data讀者反饋




書目名稱Analysis of Large and Complex Data讀者反饋學(xué)科排名

考古學(xué)

Multivariate Functional Regression Analysis with Application to Classification Problems multivariate random processes; the objects are represented by functions. In this paper we discuss different types of regression model: linear and logistic. Various methods of representing functional data are also examined. The approaches discussed are illustrated with an application to two real data sets.

tangle

https://doi.org/10.1007/978-3-319-25226-1Big Data; Classification; Cluster Analysis; Complex Data; Computational Statistics; Data Analysis; Musicol

牢騷

HERTZ

Adalbert F.X. Wilhelm,Hans A. KestlerOffers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields.With contributions from a variety of interdisciplinary fields.S

nephritis

Studies in Classification, Data Analysis, and Knowledge Organizationhttp://image.papertrans.cn/a/image/156388.jpg

放肆的我

Analysis of Large and Complex Data978-3-319-25226-1Series ISSN 1431-8814 Series E-ISSN 2198-3321

時(shí)間等

ASTER

Quality Feature Space of Transmitted Speech, multivariate random processes; the objects are represented by functions. In this paper we discuss different types of regression model: linear and logistic. Various methods of representing functional data are also examined. The approaches discussed are illustrated with an application to two real data sets.

Externalize

https://doi.org/10.1007/978-3-7643-8882-9between the realist and anti-realist positions within the classical test theory and item response theory(IRT) psychometric traditions in measurement of latent variables(Measurement 6:25–53, 2008; Salzberger and Koller, J Bus Res 66:1307–1317, 2013). However, this bi-polar view seems to be too distan