首页|China Jiliang University Researcher Focuses on Support Vector Machines (Low Prob ability of Intercept Radar Signal Recognition Based on Semi-Supervised Support V ector Machine)
China Jiliang University Researcher Focuses on Support Vector Machines (Low Prob ability of Intercept Radar Signal Recognition Based on Semi-Supervised Support V ector Machine)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on are discussed in a new report. According to news originating fromHangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Low probability ofintercept (LPI) radar signal recognition under low signal-to-noise ratio (SNR) is a challe nging task withinelectronic reconnaissance systems, particularly when faced wit h scarce labeled data and limited resources.”
China Jiliang UniversityHangzhouPeop le’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningSupport V ector MachinesVector Machines
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