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Titlebook: Advances in Neural Networks - ISNN 2017; 14th International S Fengyu Cong,Andrew Leung,Qinglai Wei Conference proceedings 2017 Springer Int

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978-3-319-59071-4Springer International Publishing AG 2017
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https://doi.org/10.1007/978-1-349-06086-3large-scale imbalanced data stream assume a prior distribution of data based on a training dataset, while we consider a more challenging setting without any assumption of the prior, and propose an online multi-threshold learning (OMTL) method by simultaneously learning multiple classifiers with diff
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,The Chinese National People’s Congress,ct availability and get instant response as well as able to search flexibly for products by using specific keywords, hence having an easy and precise search capability along with proper product categorisation through keywords that allow better overall shopping experience. This paper compared the per
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Stephen White,John Gardner,George Schöpflinomous driving which detects object and assesses its danger with distance to warn drivers. Previous vision-based dangerous object detections apply two independent models to deal with object detection and distance prediction, respectively. In this paper, we show that object detection and distance pred
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Elections in Communist Party States.J. Hopfield about ensuring a sufficiently large number of equilibria which need to be asymptotically stable in some sense. Viewing AI devices as repetitive structures, we focus on those devices ensuring some stability properties of the equilibria from the design stage, pointing out that the so-call
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