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Titlebook: Data Science; 6th International Co Pinle Qin,Hongzhi Wang,Zeguang Lu Conference proceedings 2020 Springer Nature Singapore Pte Ltd. 2020 ar

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楼主: Malicious
发表于 2025-3-26 22:12:52 | 显示全部楼层
Michael E. Lamb,Kathleen E. Gilbride this model is called extended user preference model based on matrix factorization, referred to as UPEMF. Experiments were conducted on two real world datasets, and the results show that the proposed method improves the accuracy of POI recommendations compared to other recent methods.
发表于 2025-3-27 04:47:04 | 显示全部楼层
Incompatibility, Loneliness, and “Limerence”th English corpus. Finally, the sentiment of the text was classified by stacked Bi-LSTM with attention mechanism, with input of sentiment word vector. Experiments show that the model can effectively improve the performance of Vietnamese sentiment analysis under small language materials.
发表于 2025-3-27 08:33:33 | 显示全部楼层
On the Stability of the Asteroidsglobal and local search capabilities of the algorithm. The typical test function was used to test the algorithm. The experimental results show that the algorithm has high precision and the ability to find the global optimum compared with the existing algorithms. The overall accuracy is increased by more than 50%.
发表于 2025-3-27 11:16:01 | 显示全部楼层
N. Gökdogan,K. Avcioglu,D. Koçer model, a new model named RWGCN based on different propagation kernels was proposed logically. The experiments show that satisfactory results are achieved on the semi-supervised classification task of graph type data.
发表于 2025-3-27 16:35:38 | 显示全部楼层
Multi-factor Fusion POI Recommendation Model this model is called extended user preference model based on matrix factorization, referred to as UPEMF. Experiments were conducted on two real world datasets, and the results show that the proposed method improves the accuracy of POI recommendations compared to other recent methods.
发表于 2025-3-27 20:52:04 | 显示全部楼层
Effective Vietnamese Sentiment Analysis Model Using Sentiment Word Embedding and Transfer Learningth English corpus. Finally, the sentiment of the text was classified by stacked Bi-LSTM with attention mechanism, with input of sentiment word vector. Experiments show that the model can effectively improve the performance of Vietnamese sentiment analysis under small language materials.
发表于 2025-3-27 22:21:25 | 显示全部楼层
发表于 2025-3-28 02:31:08 | 显示全部楼层
发表于 2025-3-28 07:24:57 | 显示全部楼层
New Lattice-Based Digital Multi-signature Schemehe key generation, multi-signature generation and multi-signature verification of the two types of schemes. Moreover, experimental results prove that the digital multi-signature scheme based on lattice is especially efficient and secure to multi-signature generation.
发表于 2025-3-28 14:08:35 | 显示全部楼层
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