首页|Study Data from Guizhou Normal University Update Knowledge of Intelligent System s (Clip-gcn: an Adaptive Detection Model for Multimodal Emergent Fake News Domai ns)

Study Data from Guizhou Normal University Update Knowledge of Intelligent System s (Clip-gcn: an Adaptive Detection Model for Multimodal Emergent Fake News Domai ns)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning - Inte lligent Systems is now available. According to news reporting originating in Gui yang, People’s Republic of China, by NewsRx journalists, research stated, “Emerg ent news is characterized by few labels, and news detection methods that rely on a large number of labels are difficult to apply to learned features for emergin g events and are ineffective in coping with less labeled emergent news detection . To address the challenge of limited labeled data, this study first establishes a scenario for detecting breaking news, ensuring that the domain of detecting e vents is distinct from the domain of historical events.”

GuiyangPeople’s Republic of ChinaAsi aIntelligent SystemsMachine LearningGuizhou Normal University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(MAY.16)