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Titlebook: Logical Methods; In Honor of Anil Ner John N. Crossley,Jeffrey B. Remmel,Moss E. Sweedle Book 19931st edition Birkh?user Boston 1993 Equiva

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發(fā)表于 2025-3-26 22:04:58 | 只看該作者
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發(fā)表于 2025-3-27 02:26:23 | 只看該作者
J. C. E. Dekkers which is based on the idea that the variability of the data is not always caused by the error but by the intrinsic variety of the systems outputs. From this idea, several methods for data analysis have been proposed and obtained results in a different point of view from the conventional analysis.
33#
發(fā)表于 2025-3-27 07:39:22 | 只看該作者
R. G. Downey,Jeffrey B. Remmels which is based on the idea that the variability of the data is not always caused by the error but by the intrinsic variety of the systems outputs. From this idea, several methods for data analysis have been proposed and obtained results in a different point of view from the conventional analysis.
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發(fā)表于 2025-3-27 11:23:04 | 只看該作者
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發(fā)表于 2025-3-27 14:56:25 | 只看該作者
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發(fā)表于 2025-3-27 20:06:30 | 只看該作者
Geoffrey Hirdution being optimized with regards to all objectives. Deal with such problems, Multi- Objective Evolutionary Algorithms (MOEAs) have shown a great potential. There has been a popular trend in getting suitable solutions and increasing the convergence ofMOEAs by considering by Decision Makers (DM) dur
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發(fā)表于 2025-3-28 00:24:28 | 只看該作者
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發(fā)表于 2025-3-28 05:34:07 | 只看該作者
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發(fā)表于 2025-3-28 06:23:15 | 只看該作者
D. Kozenineering (KSE 2013) held at October 17-19, 2013 in Hanoi, Vi.The field of Knowledge and Systems Engineering (KSE) has experienced rapid development and inspired many applications in the world of information technology during the last decade. The KSE conference aims at providing an open international
40#
發(fā)表于 2025-3-28 12:13:22 | 只看該作者
S. Lempp,M. Lerman,F. Weberson is popular and achieves high prediction accuracy with the development of deep learning. However, pose estimation of multi-person remains to be a huge challenge and cannot achieve the same effect as that of a single person. It mainly results from the rare, missing or incorrect location detection
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