Findings in Support Vector Machines Reported from Chinese Academy of Sciences (A novel framework for debris flow susceptibility assessment considering the uncer tainty of sample selection)
Findings in Support Vector Machines Reported from Chinese Academy of Sciences (A novel framework for debris flow susceptibility assessment considering the uncer tainty of sample selection)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in support vector machines. According to news reportingfrom Chengdu, People’s Republic of China, by NewsRx journalists, research stated, “The uncertaintyarising from ra ndom sampling of non-debris flow samples significantly impacts the accuracy of d ebris flowsusceptibility assessments (DFSA).”
Key words
Chinese Academy of Sciences/Chengdu/Pe ople’s Republic of China/Asia/Machine Learning/Support Vector Machines
NETL
NSTL