首页|Data from Department of Breast and Thyroid Surgery Provide New Insights into Sup port Vector Machines (Subspace Sequentially Iterative Leaning for Semi-supervise d Svm)
Data from Department of Breast and Thyroid Surgery Provide New Insights into Sup port Vector Machines (Subspace Sequentially Iterative Leaning for Semi-supervise d Svm)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing - Support Vector Machines have beenpublished. According to news reporting o riginating in Shenzhen, People’s Republic of China, by NewsRxjournalists, resea rch stated, “Classifying partially labeled high-dimensional data remains a diffi cult problemfor semi-supervised support vector machine (SVM) since the converge nce and the stability can hardly beguaranteed. Existing studies try to use dime nsionality reduction techniques to relieve this problem.”
ShenzhenPeople’s Republic of ChinaAs iaMachine LearningSupport Vector MachinesDepartment of Breast and Thyroid Surgery
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