捐助
发表于 2025-4-1 03:27:33
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玩笑
发表于 2025-4-1 08:35:41
Cost Sensitive Matrix Factorization for Face Recognition,ts a more flexible feature embedding strategy. It contains two main steps: (1) matrix factorization for the learning of latent semantic representation and (2) cost sensitive latent semantic regression. In this way, the face images are embedded into their label space with the misclassification loss m
处理
发表于 2025-4-1 13:38:36
Research of Dengue Fever Prediction in San Juan, Puerto Rico Based on a KNN Regression Model,s are difficult to be applied to non-stationary climate data, such as rainfall or precipitation. A novel k-nearest neighbor (KNN) regression method was proposed to improve the prediction accuracy of dengue fever regression model in this paper. The dengue cases and the climatic factors (average minim
陈腐思想
发表于 2025-4-1 17:41:07
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