[HTML][HTML] Data Mining from a Statistical Perspective

JH Maindonald - Statistics Consulting Unit, 1999 - blogjava.net
… , allowing for much better and more informed use of research-… , effectively, six observations.
The example is, like many of the examples in books on data mining and machine learning, is …

[PDF][PDF] Examing the potential and short comings of digital applications in Cultural Heritage

M Economou - The Proceedings of DACH, 2007 - academia.edu
… It is even more effective for the cultural organization to try to … follow this traditional
communication model, centering on the … method to enhance the assignment for interactive design. …

[DOC][DOC] Did Bible Authors Believe in a Literal Genesis?

T Mortenson - The New Answers Book - christcentergospel.org
… Natural selection is the only available mechanism under this model by which sequence identity
… Hence, this study was excluded from further consideration, effectively limiting the present …

[PDF][PDF] 本科生毕业设计(学术论文) Undergraduate Graduation Project (Academic Thesis)

A Mr, Y Hao - researchgate.net
… the efficiency of a computational tool to help identify news using … With this increased interest,
it is critical to expose fake news in … built to detect fake or false news using machine learning

融合外部知识和用户交互特征的虚假新闻检测

刘帅, 傅丽芳 - 数据分析与知识发现, 2023 - manu44.magtech.com.cn
… classification model to improve the efficiency of fake news detection. The new model incorporates
… Finally, we improved the connection edge weight of the graph convolutional network to …

边缘引导的双注意力图像拼接检测网络

吴晶辉, 严彩萍, 李红, 刘仁海 - 中国图象图形学报, 2024 - cjig.cn
… records,published false news and fake evidence in court.… forgery field,effectively improving
the model's performance.… that our model has stronger detection capability and better

應用強化學習於文本分類問題中對抗樣本的尋找方法

林宗興 - 2018 - tdr.lib.ntu.edu.tw
… In this work we aim to improve the efficiency of finding … deal with fake news problem by
machine learning and natural … actually lead to a efficient finding rate better than greedy baseline. …

基于对抗神经网络的跨模态谣言检测*

孟佳娜, 王晓培, 李婷, 刘爽, 赵迪 - 数据分析与知识发现, 2023 - manu44.magtech.com.cn
… [Objective] This paper proposes an adversarial neural network model combining the text and
… The proposed model could more effectively learn feature representation and detect rumors. …

[HTML][HTML] 應用機器學習與本體論於案例推論為基的網路謠言辨識

XH Huang - 2020 - ir.lib.ncu.edu.tw
… significantly increased, people on social media platforms usually are not able to effectively
verify … Therefore, this research applies machine learning techniques and ontology models to …

基于数据增强和多任务学习的突发公共卫生事件谣言识别研究*

曾子明, 张瑜 - 数据分析与知识发现, 2023 - manu44.magtech.com.cn
… to enhance the unbalanced rumor dataset. Third, we built a multi-task learning model to …
[Conclusions] The proposed method can effectively classify public health emergency rumors…