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Titlebook: Schwarz Methods and Multilevel Preconditioners for Boundary Element Methods; Ernst P. Stephan,Thanh Tran Book 2021 The Editor(s) (if appli

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樓主: 中產階級
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發(fā)表于 2025-3-25 03:44:29 | 只看該作者
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發(fā)表于 2025-3-25 14:43:48 | 只看該作者
est data, search statements and the expected results from the searches to academic researchers and commercial companies for testing of their systems. This has placed a standard baseline into comparisons of algorithms. Although there is now a standard database, there is still debate on the accuracy a
24#
發(fā)表于 2025-3-25 18:50:48 | 只看該作者
Ernst P. Stephan,Thanh Tranhis robustness to noise can be attributed to the fact that keyphrase words have a lower WER than non-keyphrase words and that they tend to have more redundancy in the audio. From this we conclude that keyphrase extraction is feasible for a wide range of spoken documents, including less-than-broadcas
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發(fā)表于 2025-3-25 23:38:03 | 只看該作者
Ernst P. Stephan,Thanh Tranocuments after submitting a query..We explore a number of weighting functions for the graph edges using click information. Applying an automated evaluation framework to assess query recommendations allows us to perform automatic and reproducible evaluation experiments. We demonstrate how our modifie
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發(fā)表于 2025-3-26 00:15:19 | 只看該作者
Ernst P. Stephan,Thanh Tranwhich can be employed in different settings. Experimental results on two datasets from an app search engine demonstrate that our model can make effective use of semantic knowledge, and thus can significantly enhance the accuracies of latent matching models, particularly for tail queries.
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