… The example is, like many of the examples in books on data mining and machine learning,
is a classification problem. It comes from a study of geographical variation in plant …

… been informed by its careful examination of US military initiatives … been informed by its careful
examination of US military initiatives … Recently, Baidu’s Deep Learning Lab entered its own …

… detect fake news on social media earlier and curb the dissemination of mis/dis-information.
[Methods] Based on the features of news … Then, we constructed a model to detect fake news. …

… to support the idea of utilizing machine learning to detect fake news. … perspective that
incorporates psychological and social theory characterizations of fake news to detect fake news on …

… Compare to the knowledge:graph neural fake news detection with external knowledge …
Hierarchical multi-head attentive network for evidence-aware fake news detection …

… detection. • Based on the identified special features, we design a detection method which
uses machine-learning … We perform experiments using two popular machine learning libraries, …

… -based machine learning and deep learning were compared. VGG-16 was recommended
for the purpose of distinguishing volunteer corn from soybean due to its higher detection …

… Another perspective we want to discuss is the time complexity and the number of iterations
needed … His research interests include computer vision, machine learning and deep learning. …

… Lead-glazed Liuli statues of gods (琉璃神像) are used for a closer look at the provenance …
Houo’s material was thus made to seem an “ instructive” perspective in the lively field of …

In the last decade, there has been a significant rise in the number of states engaging in
foreign disinformation campaigns. In this paper, I argue that while foreign disinformation …