首页|New Support Vector Machines Study Findings Have Been Reported by Investigators at Huazhong Agricultural University (Hybrid Con- ditional Kernel Svm for Wire Rope Defect Recognition)
New Support Vector Machines Study Findings Have Been Reported by Investigators at Huazhong Agricultural University (Hybrid Con- ditional Kernel Svm for Wire Rope Defect Recognition)
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2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Machine Learning - Support Vector Machines. According to news reporting originating in Wuhan, People’s Republic of China, by NewsRx journalists, research stated, “Support vector machine (SVM) has been applied in data classification and defect recog- nition in various scenes, the common kernels are not always suitable to satisfy the requirement of high accuracy and efficiency inspection. A new hybrid conditional kernel (HCK) and SVM model based on ex- ponential functions is proposed in this article, the validity and feasibility of the basic characterizations are introduced theoretically first, and the numerical classification results for different datasets are calculated and compared with related algorithms.”
WuhanPeople’s Republic of ChinaAsiaMachine LearningSupport Vector MachinesHuazhong Agricultural University
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