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Titlebook: Lehrbuch der Geometrischen Optik; R. S. Heath Textbook 1894 Verlag von Julius Springer 1894 Achromat.Achromatismus.Apertur.Dünne Linse.Ein

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樓主: Ensign
41#
發(fā)表于 2025-3-28 18:09:07 | 只看該作者
Optische Instrumente. Bestimmung der Konstanten optischer Instrumente,Um bei grosser Oeffnung ein scharfes Bild auf dem Schirm zu gewinnen, hat man sich dioptrischer Mittel zu bedienen und zwar einer Linse, welche so beschaffen ist, dass sie von den auf der einen Seite derselben befindlichen Objekten auf der anderen Seite reelle, also auffangbare Bilder entwerfen kann
42#
發(fā)表于 2025-3-28 20:44:11 | 只看該作者
43#
發(fā)表于 2025-3-28 23:19:35 | 只看該作者
R. S. Heath M. A., D. Sc.which 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.
44#
發(fā)表于 2025-3-29 06:26:02 | 只看該作者
R. S. Heath M. A., D. Sc.ing priority to shell node which has maximal similarity with the current local community. We evaluate the proposed algorithm on both synthetic and real-world networks. The results of our experiment demonstrate that our algorithm is highly effective at local community detection compared to related al
45#
發(fā)表于 2025-3-29 11:19:34 | 只看該作者
46#
發(fā)表于 2025-3-29 12:20:45 | 只看該作者
47#
發(fā)表于 2025-3-29 16:54:57 | 只看該作者
48#
發(fā)表于 2025-3-29 23:40:59 | 只看該作者
R. S. Heath M. A., D. Sc.c level with much less human efforts in future experiments. We further find that most existing evaluation metrics correlate with user preferences well for result lists with large performance differences, no matter the differences is detected by the metric or the users. According to these findings, w
49#
發(fā)表于 2025-3-30 03:06:03 | 只看該作者
50#
發(fā)表于 2025-3-30 06:56:25 | 只看該作者
R. S. Heath M. A., D. Sc. a result, the set of chosen reviews may consist of low-quality ones even if its statistical property is close to that of the original review corpus, which is not preferred by the users. In this paper, we propose a review selection method which takes the reviews’ quality into consideration during th
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