首页|Studies from University of New South Wales Describe New Findings in Artificial I ntelligence (A Temporal Ontology Guided Clustering Methodology With a Case Study On Detection and Tracking of Artificial Intelligence Topics)
Studies from University of New South Wales Describe New Findings in Artificial I ntelligence (A Temporal Ontology Guided Clustering Methodology With a Case Study On Detection and Tracking of Artificial Intelligence Topics)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on Artificial Intelligence is now available. According to news reportingout of Canberra, Australia, by Ne wsRx editors, research stated, “Detection and tracking of topics frompublicly a vailable academic data can benefit the scientific community and other stakeholde rs throughouttheir investment and other decisions, by informing the decisions r egarding the field of science, its evolution,and its dynamics. In this study, w e introduce a novel temporal clustering method for topic detection,using docume nt abstracts, keywords, and their corresponding textual representations.”
CanberraAustraliaAustralia and New Z ealandArtificial IntelligenceEmerging TechnologiesMachine LearningUniver sity of New South Wales
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