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Titlebook: Legitimacy Needs as Drivers of Business Exit; Carolin Decker Book 2008 Gabler Verlag | Springer Fachmedien Wiesbaden GmbH, Wiesbaden 2008

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Outlier Detection Model Based on Autoencoder and Data Augmentation for High-Dimensional Sparse Datan. To address these issues, an autoencoder and data augmentation-based anomaly detection model for high-dimensional sparse data is proposed (SEAOD). First, the model solves the problem of imbalanced data by using the weighted SMOTE algorithm and ENN algorithm to fill in the minority class samples an
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Rules as Reason-Giving Facts: A Difference-Making-Based Account of the Normativity of Ruleso not point to a good in the action for which they are reasons?” In this paper, we put forward a difference-making-based theory of reasons to resolve Raz’s puzzle. This theory distinguishes between reasons and reason-giving facts, and we argue that rules are not reasons but rather reason-giving fact
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Effect of Operating Parameters on the Tribological Characteristics of 3D Printed Textured Journal Bee results delivered on the ground. Equally important, the two missions have proved able to smoothly work to the benefit of their operational objectives whenever they have both stayed tuned with local interests and streamlined their practices with other EU policies active in the region.
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Learning in Probabilistic Graphs Exploiting Language-Constrained Patternsay be viewed as feature, or factor, between the two nodes and the corresponding probability as its weight. Each observed link is considered as a positive instance for its corresponding link label. Given the training set of observed links a L2-regularized Logistic Regression has been adopted to learn a model able to predict unobserved link labels.
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Pre-sorting and waste collection, zu kleinen Handwerksunternehmen müssen die speziellen Bedürfnisse und Ressourcen dieser Zielgruppe immer wieder hinterfragt und aktualisiert werden. Aus der Nachbetrachtung des Fallbeispiels kann sogar gesagt werden, dass gerade in kleinen Handwerksunternehmen tief greifende Veränderungen innerhalb
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