首页|University of Rouen Normandie Researcher Publishes New Study Findings on Support Vector Machines (Support Vector Machines With Uncertainty Option and Incrementa l Sampling for Kriging)
University of Rouen Normandie Researcher Publishes New Study Findings on Support Vector Machines (Support Vector Machines With Uncertainty Option and Incrementa l Sampling for Kriging)
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 Daily News Daily News – Investigators publish new report on . According to news reporting originating from the University of Rouen Normandie b y NewsRx correspondents, research stated, “ABSTRACT: This paper presents a novel approach to pollution assessment by investigating support vector machines (SVM) with an uncertainty option to overcome the limitations of traditional kriging. While kriging is a major tool for geostatistical modelling, allowing to estimate the distribution of contaminants in a region from a small set of samples, it do es not allow to extract also the uncertainty map.”
University of Rouen NormandieEmerging TechnologiesMachine LearningSupport Vector MachinesVector Machines
NETL
NSTL
