Titlebook: Interdisziplinäre Analysen zur LEO - Studie 2018 – Leben mit geringer Literalität; Vertiefende Erkenntn Anke Grotlüschen,Klaus Buddeberg,He

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书目名称Interdisziplinäre Analysen zur LEO - Studie 2018 – Leben mit geringer Literalität影响因子(影响力)




书目名称Interdisziplinäre Analysen zur LEO - Studie 2018 – Leben mit geringer Literalität影响因子(影响力)学科排名




书目名称Interdisziplinäre Analysen zur LEO - Studie 2018 – Leben mit geringer Literalität网络公开度




书目名称Interdisziplinäre Analysen zur LEO - Studie 2018 – Leben mit geringer Literalität网络公开度学科排名




书目名称Interdisziplinäre Analysen zur LEO - Studie 2018 – Leben mit geringer Literalität被引频次




书目名称Interdisziplinäre Analysen zur LEO - Studie 2018 – Leben mit geringer Literalität被引频次学科排名




书目名称Interdisziplinäre Analysen zur LEO - Studie 2018 – Leben mit geringer Literalität年度引用




书目名称Interdisziplinäre Analysen zur LEO - Studie 2018 – Leben mit geringer Literalität年度引用学科排名




书目名称Interdisziplinäre Analysen zur LEO - Studie 2018 – Leben mit geringer Literalität读者反馈




书目名称Interdisziplinäre Analysen zur LEO - Studie 2018 – Leben mit geringer Literalität读者反馈学科排名

镶嵌细工

Banquet

Anke Grotlüschen,Gregor Dutzs ‘holy.’ At any time, given some agent’s current coding capabilities, part of the data is compressible by a short and hopefully fast program / description / explanation / world model. In the agent’s subjective eyes, such data is more regular and more . than other data. It is well-known that knowled

愚蠢人

Klaus Buddeberg,Petra Grellnsiderable part of on-line scientific literature is still available in layout-oriented data formats, like PDF, lacking any explicit structural or semantic information. As a consequence the bootstrap of textual analysis of scientific papers is often a time-consuming activity. We present the first ver

alcoholism

Klaus Buddeberg,Ewelina Mania,Josef Schrader,Monika Trösterassified object is calculated using K nearest objects from the validation set. Next, the decision profile is compared with the support vector produced by the classifier. The competence measure reflects the outcome of this comparison and rates the classifier with respect to the similarity of its supp

来这真柔软

Miriam Beblo,Dennis Becker,Anke Grotlüschenes and ensuring that data models remain representative through time. To this end, concept drift detection methods often utilize statistical techniques that take numerical data as input. However, many applications produce data streams containing categorical attributes, where numerical statistical met

apropos

Justine Stang-Rabrig,Ulrich Ludewig,Nele McElvanyed to model sentences, however, little is known about their comparative performance on a common ground, across a variety of datasets, and on the same level of optimization. In this paper, we provide such a novel comparison for two popular architectures, Recursive Neural Tensor Networks (RNTNs) and C

Granular

Lisanne Heilmann,Eva Markowskyes and ensuring that data models remain representative through time. To this end, concept drift detection methods often utilize statistical techniques that take numerical data as input. However, many applications produce data streams containing categorical attributes, where numerical statistical met

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