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Titlebook: Handbuch der Materialienkunde für den Maschinenbau; A. Martens Book 1912 Springer-Verlag Berlin Heidelberg 1912 Chemie.Dynamik.Legierung.M

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t a profiling-based cost model as well as a decision model to identify potentially beneficial materialization points. Finally, we report results of our experimental evaluation showing the validity of the cost model and the benefit of recycling.
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A. Martenses and generates multiple texts over the data-to-text generation phases, returning the best one. Our experiments on a real-world dataset demonstrate that our approach generates higher quality texts and outperforms some baseline models regarding BLEU, METEOR, and TER.
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d evaluate generic and tuned instantiations of the approach using Random Forests as the meta-model. The experiments reveal that our approach is able to perform high quality recommendations based on the user preferences.
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A. Martens (dis)similarity of objects is expressed by an arbitrary metric function, and we propose a way to efficiently estimate the quality of sketches using just a small sample set of data. Our approach is based on a probabilistic analysis of sketches which describes how separated are objects after projection to the Hamming space.
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A. Martenspt alive for active use for another 15 to 20 years. At the time there were very few examples to learn from and we had to invent much of the system ourselves. The paper discusses the lessons learned, future directions and recalls some memorable moments of our collaboration.
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