Titlebook: Handbuch des geltenden Öffentlichen und Bürgerlichen Rechts; R. Zelle,R. Korn,W. Lehmann Book 1911Latest edition Springer-Verlag Berlin He

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书目名称Handbuch des geltenden Öffentlichen und Bürgerlichen Rechts影响因子(影响力)




书目名称Handbuch des geltenden Öffentlichen und Bürgerlichen Rechts影响因子(影响力)学科排名




书目名称Handbuch des geltenden Öffentlichen und Bürgerlichen Rechts网络公开度




书目名称Handbuch des geltenden Öffentlichen und Bürgerlichen Rechts网络公开度学科排名




书目名称Handbuch des geltenden Öffentlichen und Bürgerlichen Rechts被引频次




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书目名称Handbuch des geltenden Öffentlichen und Bürgerlichen Rechts读者反馈学科排名

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R. Zelle,R. Korn,K. Gordan,W. Lehmannb is a challenging task. In this paper we present MYC a Moroccan YouTube Corpus of manually annotated comments with the aim of facilitating the task of sentiments analysis of Moroccan dialect in the web. Comments are collected from the wildly used website YouTube and manually annotated by several an

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R. Zelle,R. Korn,K. Gordan,W. Lehmannber of samples tends to infinity. We derive a probabilistic finite sample size bound on the approximation error of an individual eigenvalue, which has the important property that the bound scales with the dominate eigenvalue under consideration, reflecting the accurate behavior of the approximation

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R. Zelle,R. Korn,K. Gordan,W. Lehmann evolutionary algorithm-based method for creating an ensemble of rule sets consisting of two stages. First, an evolutionary algorithm (more precisely, a genetic programming algorithm) is used to automatically create complete rule induction algorithms. Secondly, the automatically-evolved rule inducti

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R. Zelle,R. Korn,K. Gordan,W. Lehmannbetween two partitions. We provide a number of examples of this type of measure. Another class of measures we investigate are prognostication measures. This measure, closely related to a concept of containment between partitions, are useful in indicating how well knowledge of an objects class in one

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R. Zelle,R. Korn,K. Gordan,W. Lehmann . based paradigm, where the aim is to find the best way to separate the examples of one class from those of other classes. A less popular approach follows a . based paradigm, where the aim is to build a description (model) of every class from examples, and use this model to recognizes instances of

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