细胞 发表于 2025-3-30 09:11:48
http://reply.papertrans.cn/63/6208/620743/620743_51.png干旱 发表于 2025-3-30 13:58:58
http://reply.papertrans.cn/63/6208/620743/620743_52.png拱形面包 发表于 2025-3-30 18:32:26
http://reply.papertrans.cn/63/6208/620743/620743_53.pngCHANT 发表于 2025-3-31 00:00:53
,Loss Function with Memory for Trustworthiness Threshold Learning: Case of Face and Facial Expressiowith makeup and occlusion is used for computational experiments in the partition that ensures high out of the training data distribution conditions, where only non-makeup and non-occluded images are used for CNN model ensemble training, while the test set contains only makeup and occluded images.熄灭 发表于 2025-3-31 03:35:28
,LS-PON: A Prediction-Based Local Search for Neural Architecture Search,LS-PON (Local Search with a Predicted Order of Neighbors) that uses linear regression models to order the exploration of neighbors during the search. LS-PON, unlike other prediction-based NAS methods, requires neither pre-sampling nor tuning. Our experiments on popular NAS benchmarks show that LS-PO无可争辩 发表于 2025-3-31 05:40:13
http://reply.papertrans.cn/63/6208/620743/620743_56.pngLaconic 发表于 2025-3-31 13:04:15
http://reply.papertrans.cn/63/6208/620743/620743_57.png咆哮 发表于 2025-3-31 15:13:10
Sensitivity Analysis of Engineering Structures Utilizing Artificial Neural Networks and Polynomial ns. It is shown that utilization of both methods leads to efficient and complex sensitivity analysis of engineering structures, and it could be recommended to use combination of both techniques in industrial applications.Peak-Bone-Mass 发表于 2025-3-31 19:38:18
http://reply.papertrans.cn/63/6208/620743/620743_59.pngethereal 发表于 2025-3-31 22:36:20
MI2AMI: Missing Data Imputation Using Mixed Deep Gaussian Mixture Models, Forests, k-Nearest Neighbours, and Generative Adversarial Networks. Two missing values designs were tested, namely the Missing Completly at Random (MCAR) and Missing at Random (MAR) designs, with missing value rates ranging from 10% to 30%.