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Titlebook: Advances in Neural Networks -- ISNN 2011; 8th International Sy Derong Liu,Huaguang Zhang,Haibo He Conference proceedings 2011 Springer Berl

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樓主: HABIT
51#
發(fā)表于 2025-3-30 08:42:57 | 只看該作者
Carolyn Moore Newberger,Isabelle M. Gremyh the conception of attraction force. Experimental results showed that the proposed decision-making function for multi-class SVDD classifier is more accurate than the decision-making function using local density degree.
52#
發(fā)表于 2025-3-30 16:00:52 | 只看該作者
53#
發(fā)表于 2025-3-30 19:35:22 | 只看該作者
54#
發(fā)表于 2025-3-30 22:39:56 | 只看該作者
Madison Miller,Jeffrey C. Bridger one hand, we come to the probability distribution of various patterns of LBP in the NIR facial image. On the other hand, we discuss the influence to LBP caused by the illumination change in facial image.
55#
發(fā)表于 2025-3-31 01:33:04 | 只看該作者
56#
發(fā)表于 2025-3-31 06:11:12 | 只看該作者
57#
發(fā)表于 2025-3-31 10:22:58 | 只看該作者
Kimberly T. Kendziora,David M. Osherabilistic neural network and wavelet probabilistic neural network in the aggregate classification rate, type I error, type II error, and also has such advantages as simple structure, quick convergence, which can be used in control chart patterns recognition in cellular manufacturing.
58#
發(fā)表于 2025-3-31 15:08:32 | 只看該作者
59#
發(fā)表于 2025-3-31 18:00:56 | 只看該作者
60#
發(fā)表于 2025-4-1 00:58:38 | 只看該作者
Community policing in the United States they did not make good use of the information. Furthermore, we summarize the theoretical analysis of Graphical Lasso algorithm. From theoretical and practical points of view, we fully verify the superiority of Graphical Lasso used in modeling for multi-link traffic flow forecasting.
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