柳树；枯黄
发表于 2025-3-23 11:41:59
http://reply.papertrans.cn/19/1834/183302/183302_11.png
musicologist
发表于 2025-3-23 15:05:33
http://reply.papertrans.cn/19/1834/183302/183302_12.png
sultry
发表于 2025-3-23 21:51:19
https://doi.org/10.1007/978-94-011-6790-1rget recognition. In the training process, the weight of each image is automatically optimized in the networks. Finally, the performance of the proposed HIFTR has been evaluated by comparing with other related methods, and the experimental results show that the HIFTR method can efficiently improve the classification accuracy.
亲属
发表于 2025-3-23 22:31:53
http://reply.papertrans.cn/19/1834/183302/183302_14.png
Infirm
发表于 2025-3-24 03:02:14
Ordinal Classification Using Single-Model Evidential Extreme Learning Machinenty in training labels, the proposed evidential ordinal method can be reduced to the traditional ordinal one. Experiments on artificial and UCI datasets illustrate the practical implementation and effectiveness of proposed evidential extreme learning machine for ordinal classification.
无可非议
发表于 2025-3-24 09:48:29
http://reply.papertrans.cn/19/1834/183302/183302_16.png
哄骗
发表于 2025-3-24 10:52:39
http://reply.papertrans.cn/19/1834/183302/183302_17.png
传授知识
发表于 2025-3-24 17:04:58
http://reply.papertrans.cn/19/1834/183302/183302_18.png
Addictive
发表于 2025-3-24 20:22:10
Themenmotivation und Gang der Untersuchung, since it can mine the ambiguity and uncertainty of the data structure; secondly, through a competitive strategy, it can automatically gain the number of clusters under the rule of intra-class compactness and inter-class dispersion. Results demonstrate the effectiveness of the proposed method on synthetic and real-world datasets.
节约
发表于 2025-3-24 23:12:52
http://reply.papertrans.cn/19/1834/183302/183302_20.png