ITCH
发表于 2025-3-30 08:12:47
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挡泥板
发表于 2025-3-30 16:22:03
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GOAT
发表于 2025-3-30 17:12:49
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Dorsal
发表于 2025-3-30 21:03:06
Artificial Neural Networks and Machine Learning – ICANN 201827th International C
婴儿
发表于 2025-3-31 02:29:10
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白杨
发表于 2025-3-31 06:49:57
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UNT
发表于 2025-3-31 11:23:47
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善辩
发表于 2025-3-31 14:59:17
0302-9743 mation and Optimization, Interacting with The Brain, Machine Learning (ML), ML for Bio Medical systems, ML and Video-Image Processing, ML and Forensics, ML and 978-3-030-01420-9978-3-030-01421-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
勉励
发表于 2025-3-31 19:41:01
Rank-Revealing Orthogonal Decomposition in Extreme Learning Machine Designining input domain into the output space of hidden neurons) which provides the basis for linear mean square (LMS) regression problem. The conditioning of this problem is the important factor influencing ELM implementation and accuracy. It is demonstrated that rank-revealing orthogonal decomposition
搏斗
发表于 2025-3-31 22:12:19
An Improved CAD Framework for Digital Mammogram Classification Using Compound Local Binary Pattern ar is identified at its early stage. A Computer-aided diagnosis (CAD) system is an efficient computerized tool used to analyze the mammograms for finding cancer in the breast and to reach a decision with maximum accuracy. The presented work aims at developing a CAD model which can classify the mammog