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Titlebook: Big Data; 8th CCF Conference, Hong Mei,Weiguo Zhang,Li Wang Conference proceedings 2021 Springer Nature Singapore Pte Ltd. 2021 artificial

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樓主: 忠誠(chéng)
11#
發(fā)表于 2025-3-23 13:08:32 | 只看該作者
https://doi.org/10.1007/978-3-030-44762-5al-time feedback. Meanwhile, to generate diverse and complementary items for recommendation, we design a diversity-aware reward function that can lead to maximizing reward with the trade-off between diversity and accuracy. Besides, to alleviate the disadvantage of DQN that directly picking the recom
12#
發(fā)表于 2025-3-23 14:53:24 | 只看該作者
A Short Text Classification Model Based on Cross-Layer Connected Gated Recurrent Unit Capsule Networes of each layer. Furthermore, capsule network is applied to obtain the rich spatial position information in the deep high-level semantic representation, and the weight value of important features has been increasing through the core dynamic routing algorithm of the capsule network to improve the e
13#
發(fā)表于 2025-3-23 19:40:20 | 只看該作者
Image Compressed Sensing Using Neural Architecture Search,rate that our proposed method achieves the competitive performance compared with the state-of-the-art deep learning methods and numerically promotes the reconstruction accuracy considerably, showing the effectiveness of the proposed NAS-CSNet and the promise to further use of NAS in the CS field.
14#
發(fā)表于 2025-3-23 23:23:18 | 只看該作者
15#
發(fā)表于 2025-3-24 05:43:55 | 只看該作者
Introducing MDPSD, a Multimodal Dataset for Psychological Stress Detection,as required, and then fed back to us the self-assessment stress of each session as our data label. To demonstrate the dataset’s utility, we present an analysis of the correlations between participants’ self-assessments and their physiological responses. Stress is detected using well-known physiologi
16#
發(fā)表于 2025-3-24 07:05:17 | 只看該作者
17#
發(fā)表于 2025-3-24 14:12:17 | 只看該作者
Link Prediction of Attention Flow Network Based on Maximum Entropy Model,urve; 2) MELP is more excellent in AUC value. MELP algorithm can provide an entirely new solution to the precision delivery of Internet advertisements, the perception of users’ risky behaviors and other applications.
18#
發(fā)表于 2025-3-24 17:15:28 | 只看該作者
19#
發(fā)表于 2025-3-24 22:13:40 | 只看該作者
20#
發(fā)表于 2025-3-25 02:18:03 | 只看該作者
Hypernetwork Model Based on Logistic Regression,m capacity is set for each hyperedge; Secondly, the connection between nodes is selected by using logical regression instead of preferential connection; Finally, the old nodes are selected by using sub linear growth function instead of constant. Through the simulation experiment, it is found that th
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