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Titlebook: Logical Foundations for Rule-Based Systems; Antoni Ligêza Book 2006Latest edition Springer-Verlag Berlin Heidelberg 2006 Prolog.Rule-Based

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978-3-642-06709-9Springer-Verlag Berlin Heidelberg 2006
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Logical Foundations for Rule-Based Systems978-3-540-32446-1Series ISSN 1860-949X Series E-ISSN 1860-9503
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ed to feed in more implicit information. Extensive experiments on three real-world datasets show that ST-MAN not only outperforms state-of-the-art methods in all aspects, but also has high computational efficiency. Moreover, the framework is easily generalized to include more data modalities.
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clinical entity mentioned in a doctor-patient dialog turn requires the information across the whole dialog rather than only the current turn. To bridge the gap, we further propose CLINER, a .inical .nterrogation NER model, which exploits both fine-grained and coarse-grained information for each dial
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Loose and Tight Bounds to alleviate two kinds of clustering errors. Based on these bounds, a novel Loose-Tight alternate clustering strategy is adopted to optimize the visual model iteratively. Furthermore, a quality measurement based learning method is proposed to mitigate the side-effects of the
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-OREES. To test the generality of DTRD algorithm, we also combined DTRD algorithm with the existing EFSRG algorithm as D-EFSRG algorithm. In the experimental part, the simulation scheduling results of FFT applications, GE applications and random applications show that the dynamic scheduling algorith
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