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In multi-class text classification, the performance (effectiveness) of a classifier is usually measured by micro-averaged and macro-averaged F1 scores. However, the scores themselves do not tell us how reliable they are in terms of forecasting the classifier's future performance on unseen data. In this paper, we propose a novel approach to explicitly modelling the uncertainty of average F1 scores...
Today's mobile devices have inherited many of the characteristics of desktop computing -- including the assumptions that the user's full attention and dexterity can be focused on the interface. Unfortunately, on-the-go users are impaired by their mobility and often find desktop-style Windows Icon Menu and Pointer (WIMP) interfaces difficult, if not impossible, to use while performing their primary...
For several decades, the output from semiconductor manufacturers has been high volume products with process optimisation being continued throughout the lifetime of the product to ensure a satisfactory yield. However, product lifetimes are continually shrinking to keep pace with market demands. Furthermore there is an increase in dasiafoundrypsila business where product volumes are low; consequently...
A physical yet analytical phase change memory (PCM) model simultaneously accounting for thermal and electrical conductivities is presented. Due to the physics based nature of the model, the essential temperature from heating and cooling of PCM during operation is instantaneously updated. More importantly, the model can be applied to non-conventional circuit design technique. We show that for the first...
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