Titlebook: Visualizing the Structure of Science; Benjamín Vargas-Quesada,Félix de Moya-Anegón Book 2007 Springer-Verlag Berlin Heidelberg 2007 Domain

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Yutaka Uchida0 desynchronised traces. In both groups of experiments, we have used the same architecture to train the model, changing just dilatation rate and kernel length, which indicates a reduction of the complexity in the deep learning model.

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A. Simon Lynch,Qun Dubility, due to their exceptional height and slenderness. The question is examined in deep, analyzing, in particular, the effects of creep of the mortars on the piers strength. It is shown that the instability of the slender masonry piers, with their axial loadings eccentricities and the mortars cree

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Abigail E. Adams,Katherine Borlandar (.) models, in which we have several different linear dependencies in different domains. Surprisingly, such piece-wise linear models often work better than more traditional models of non-linearity – e.g., models that take quadratic terms into account. In this paper, we provide a theoretical explanation for this empirical success.