Titlebook: Letzter Aufruf Kundenorientierung; Vom Sinn zum Gewinn Christian Gündling Book 2018 Springer Fachmedien Wiesbaden GmbH, ein Teil von Sprin

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Christian Gündlingandom Forest (RF), and Naive Bayes (NB). The results show that Random Forest outperforms Na?ve Bayes and SVM regarding performance and training time. As shown, the topic classification performance based on the section of “Method” can reach 0.53 compared to the whole content of the paper with 0.61 in

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Christian Gündlinge heart rate prediction module is trained on six popular deep learning models. The experimental results show that all models have the mean absolute error (MAE) in the range of 3.4 to 4.2. The results of this study can be the basis for further studies to develop other health monitoring initiatives wi

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Christian Gündlingental anonymization aimed to enable batch processing after image acquisition, reducing the daily workload of medical specialists in their institutions. Cross annotation and error correction were also supported even outside the medical institution by cogeneration of annotation sheets with anonymized

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Christian Gündling adapt its behaviour so as to meet the demands of new, or changing, environments without the need for costly re-programming. In addition, a machine that can learn can be ap- plied in new domains with the genuine potential for innovation. In this sense a machine that can learn can be applied in areas

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