首页|Research Conducted at Central China Normal University Has Provided New Informati on about Intelligent Systems (A Hybrid Model To Improve Ic-related Metrics of Se mantic Similarity Between Words)
Research Conducted at Central China Normal University Has Provided New Informati on about Intelligent Systems (A Hybrid Model To Improve Ic-related Metrics of Se mantic Similarity Between Words)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning - Intel ligent Systems are presented in a new report. According to news reporting out of Hubei, People’s Republic of China, by NewsRx editors, the research stated, “Thi s paper proposes a hybrid model to improve Information Content (IC) related metr ics of semantic similarity between words, named IC+SP, based on the essential hy pothesis that IC and the shortest path are two relatively independent semantic e vidences and have approximately equal influences to the semantic similarity metr ic. The paradigm of IC+SP is to linearly combine the IC-related metric and the s hortest path.” Funders for this research include National Natural Science Foundation of China ( NSFC), National Natural Science Foundation of China (NSFC), Hubei Provincial Nat ural Science Foundation, China, Open Research Fund of Key Laboratory of Digital Cartography and Land Information Application, Ministry of Natural Resources, Chi na.
HubeiPeople’s Republic of ChinaAsiaIntelligent SystemsMachine LearningCentral China Normal University
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