首页|Investigators at Stanford University Detail Findings in Machine Learning (Are We Closing the Loop Yet? Gaps In the Generalizability of Vis4ml Research)
Investigators at Stanford University Detail Findings in Machine Learning (Are We Closing the Loop Yet? Gaps In the Generalizability of Vis4ml Research)
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 – Data detailed on Machine Learning have been presented. According to news reporting out of Stanford, California, by New sRx editors, research stated, “Visualization for machine learning (VIS4ML) resea rch aims to help experts apply their prior knowledge to develop, understand, and improve the performance of machine learning models. In conceiving VIS4ML system s, researchers characterize the nature of human knowledge to support human-in-th e-loop tasks, design interactive visualizations to make ML components interpreta ble and elicit knowledge, and evaluate the effectiveness of human-model intercha nge.”
StanfordCaliforniaUnited StatesNor th and Central AmericaCyborgsEmerging TechnologiesMachine LearningStanfo rd University
NETL
NSTL
