首页|Chongqing University Reports Findings in Support Vector Machines (A novel bounde d loss framework for support vector machines)
Chongqing University Reports Findings in Support Vector Machines (A novel bounde d loss framework for support vector machines)
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 – New research on Support Vector Machine s is the subject of a report. According tonews reporting from Chongqing, People ’s Republic of China, by NewsRx journalists, research stated, “Thispaper introd uces a novel bounded loss framework for SVM and SVR. Specifically, using the Pin ball lossas an illustration, we devise a novel bounded exponential quantile los s (L-loss) for both support vectormachine classification and regression tasks.”
ChongqingPeople’s Republic of ChinaA siaEmerging TechnologiesMachine LearningSupport Vector MachinesVector Ma chines