Titlebook: Handbuch Sozialpolitik; Herbert Obinger,Manfred G. Schmidt Book 2019 Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature 2019

INFER

书目名称Handbuch Sozialpolitik影响因子(影响力)




书目名称Handbuch Sozialpolitik影响因子(影响力)学科排名




书目名称Handbuch Sozialpolitik网络公开度




书目名称Handbuch Sozialpolitik网络公开度学科排名




书目名称Handbuch Sozialpolitik被引频次




书目名称Handbuch Sozialpolitik被引频次学科排名




书目名称Handbuch Sozialpolitik年度引用




书目名称Handbuch Sozialpolitik年度引用学科排名




书目名称Handbuch Sozialpolitik读者反馈




书目名称Handbuch Sozialpolitik读者反馈学科排名

锉屑

Incorporate

FAWN

泰然自若

nautical

Soliloquy

Silja Häusermann,Matthias Enggist,Michael Pinggeraidered for both methods are k-nearest neighbours (KNN), artificial neural networks: radial basis function (RBF) and Support Vector Machine (SVM). Given our data set, results show that SVM is capable to classify correctly in the presence of small location errors. RBF has an acceptable correct rate bu

一骂死割除

ratory clustering, as a start. Since there are two ways to compute the between-set distance matrix, namely in dual space and total space, the current study aims at demonstrating the differences in clusters formed by two approaches. After examining the results, the study concludes that bi-modal clust

CANE

Frank Nullmeierl of smart specialization. However, every time, along with the change in the grouping method, the dividing boundary of the inclusion of regions into a given group was changing. It allowed the assessment of estimations stability depending on the inclusion of the selected regions into particular group

sundowning