Titlebook: Vocationalisation of Secondary Education Revisited; Rupert Maclean,David N. Wilson,Rupert Maclean Book 2005 Springer Science+Business Medi

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Jon Lauglo multi-dimensional data streams. We use relative entropy, also known as the Kullback-Leibler distance, to measure the statistical distance between two distributions. In the context of a multi-dimensional data stream, the distributions are generated by data from two sliding windows. We maintain a sam

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David N. Wilson have the performance drastically reduced in noisy data (e.g., .), when compared to the formal domain (e.g., .). Thus, designing and exploring new methods and architectures is highly necessary to overcome current challenges. In this paper, we shift the focus of existing solutions to an entirely diff

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Sheldon G. Weeksly loss-free image of a given dataset. However, they are also highly dependent on the order of rows and columns chosen. We propose a novel technique, called ., for ordering the rows and columns of a matrix such that the resulting image represents data faithfully. ConvoMap uses a novel optimisation c

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J?rgen Billetoft,AUSTRAL Consultoria e Projectos reference model. The sampling technique used for this transfer data has a significant impact on the provided explanation, but remains relatively unexplored in literature. In this work, we explore alternative sampling techniques in pursuit of more faithful and robust explanations, and present LEMON:

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John H. Bishop,Ferran Ma?ee problem of dyadic fairness where the task at hand is edge prediction, and the population of interest (nodes) is divided into a protected and a non-protected group, e.g. men and women. The goal is then to ensure that there should be no statistically significant difference in the prediction outcomes

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