首页|Researchers from Shandong University of Science and Technology Provide Details o f New Studies and Findings in the Area of Machine Learning (Optimizing multi-cla ssifier fusion for seabed sediment classification using machine learning)
Researchers from Shandong University of Science and Technology Provide Details o f New Studies and Findings in the Area of Machine Learning (Optimizing multi-cla ssifier fusion for seabed sediment classification using machine learning)
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 – Investigators discuss new findings in artificial intelligence. According to news originatingfrom Qingdao, People’s Re public of China, by NewsRx editors, the research stated, “ABSTRACTSeabedsedimen t mapping with acoustical data and ground-truth samples is a growing field in ma rine science.In recent years, multi-classifier ensemble models have gained prom inence for classification problems bycombining several base classifiers.”
Shandong University of Science and Techn ologyQingdaoPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
