首页|Researchers from Universitas Udayana Publish Findings in Support Vector Machines (Comparison of Gain Ratio and Chi-Square Feature Selection Methods in Improving SVM Performance on IDS)
Researchers from Universitas Udayana Publish Findings in Support Vector Machines (Comparison of Gain Ratio and Chi-Square Feature Selection Methods in Improving SVM Performance on IDS)
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 out of the Uni versitas Udayana by NewsRx editors, research stated, “An intrusiondetection sys tem (IDS) is a security technology designed to identify and monitor suspicious a ctivity in acomputer network or system and detect potential attacks or security breaches.”
Universitas UdayanaCybersecurityMach ine LearningSupport Vector Machines