首页|Researchers from Indian Institute of Technology (IIT) Indore Describe Findings I n Support Vector Machines (Granular Ball Twin Support Vector Machine)
Researchers from Indian Institute of Technology (IIT) Indore Describe Findings I n Support Vector Machines (Granular Ball Twin Support Vector Machine)
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Support Vector Ma chines are discussed in a new report. Accordingto news reporting from Indore, I ndia, by NewsRx journalists, research stated, “Twin support vector machine(TSVM ) is an emerging machine learning model with versatile applicability in classifi cation and regressionendeavors. Nevertheless, TSVM confronts noteworthy challen ges: 1) the imperative demand for matrixinversions presents formidable obstacle s to its efficiency and applicability on large-scale datasets; 2) theomission o f the structural risk minimization (SRM) principle in its primal formulation hei ghtens thevulnerability to overfitting risks; and 3) the TSVM exhibits a high s usceptibility to noise and outliers andalso demonstrates instability when subje cted to resampling.”
IndoreIndiaAsiaEmerging Technologi esMachine LearningSupport Vector MachinesVector MachinesIndian Institute of Technology (IIT) Indore