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Titlebook: Data Mining and Big Data; 8th International Co Ying Tan,Yuhui Shi Conference proceedings 2024 The Editor(s) (if applicable) and The Author(

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樓主: Jejunum
31#
發(fā)表于 2025-3-26 21:47:09 | 只看該作者
https://doi.org/10.1007/978-3-540-24711-1rging force in artificial intelligence, ChatGPT provides new ideas for the combination of the financial industry and artificial intelligence. This paper focuses on whether it is feasible to apply ChatGPT to analyze text sentiment in financial markets. We collected three types of financial texts from
32#
發(fā)表于 2025-3-27 04:07:32 | 只看該作者
33#
發(fā)表于 2025-3-27 07:00:13 | 只看該作者
Comments on P. G. Hare and D. T. Ulph fail to fully utilize historical combination information between features. Moreover, when faced with ultra-high dimensional data, they often lack the necessary decision-making ability to select a suitable optimization direction. In this paper, we propose a double layer-reinforcement learning framew
34#
發(fā)表于 2025-3-27 10:15:30 | 只看該作者
Communications in Computer and Information Sciencehttp://image.papertrans.cn/d/image/262917.jpg
35#
發(fā)表于 2025-3-27 15:17:48 | 只看該作者
A Localization Correction Algorithm of Location-Based Services Based on Point Clusteringated by the drift deviation when it is stationary, and then use the expectation to obtain relatively accurate positioning information, to achieve a certain degree of correction of the positioning drift deviation. In this paper, based on android platform, we call the basic Gaode positioning API to ob
36#
發(fā)表于 2025-3-27 20:05:13 | 只看該作者
Comparison of Prediction Methods on Large-Scale and Long-Term Online Live Streaming Datal exhibits outstanding accuracy and precision in predicting daily viewer counts when incorporating pertinent features. In the domain of large-scale and long-term live streaming data prediction, machine learning approaches surpass traditional time series forecasting methods. Moreover, our analysis un
37#
發(fā)表于 2025-3-28 01:19:46 | 只看該作者
38#
發(fā)表于 2025-3-28 05:19:30 | 只看該作者
A Unified Recombination and?Adversarial Framework for?Machine Reading Comprehensionle these issues in a single model. First, we introduce the recombination layer to recombine candidates, which converts all types of questions into the same form. Next, to enrich the information contained by the representations of candidates, we design the encoding and the fusion layers to achieve th
39#
發(fā)表于 2025-3-28 09:47:22 | 只看該作者
40#
發(fā)表于 2025-3-28 11:48:41 | 只看該作者
Cross-Language Text Search Algorithm Based on Context-Compatible Algorithmso-frequency analogue sentence relationship. Based on the context compatibility algorithm to study on the cross-lingual text searching, we designed the preliminary experiment and carried it out with some distinction effect.
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