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Titlebook: Logical Methods; The Art of Thinking Roger Antonsen Textbook 20211st edition Springer Nature Switzerland AG 2021 logic.induction.recursion

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Roger Antonsen The availability of free and massive patient electronic medical records (EMRs) provides a new chance to mine drug use patterns by designing automatic discovery methods. In this paper, we propose a data-driven method to mine typical drug use patterns from EMRs. Firstly, we use a set of quintuple to
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Roger Antonsenment. By the formation of the monitoring network, how to forecast PM2.5 pollution more accurately has become a more important issue. In the field of PM2.5 pollution forecasting, a series of results have emerged so far. However, these methods do not perform well in long-term forecasting due to the sp
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Roger Antonsended that the effect of perceived quality of attributes on overall evaluation is not symmetric, but research on this asymmetric effect within the automobile industry is uncommon. In this paper, we investigated the asymmetric effects of perceived quality on overall evaluation using consumer-generated
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Roger Antonsen relative to those events is meaningful for specific media data. In this paper, we present an end-to-end weakly-supervised news aggregation framework that enables tracking the evolution of topics from news. The framework combines Snorkel-based weakly-supervised classification, Latent Dirichlet Alloc
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Roger Antonsenanalysis of the collaborative innovation network in agricultural technology involving agricultural enterprises, universities, and research institutes. From a social network perspective, this study empirically examines the impact relationships within agricultural science and technology collaborative
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Roger Antonsenere is an urgent demand for an effective intrusion detection system (IDS) to safeguard data. Artificial intelligence subfields, including machine learning and deep learning, have emerged as valuable tools in addressing this issue, yielding substantial achievements. Nonetheless, the escalating utiliz
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Roger Antonsenanalysis of the collaborative innovation network in agricultural technology involving agricultural enterprises, universities, and research institutes. From a social network perspective, this study empirically examines the impact relationships within agricultural science and technology collaborative
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