Jared D. Willard, Jordan S. Read, Alison P. Appling, Samantha K. Oliver, Xiaowei Jia...
TL;DR应用元转移学习方法Meta Transfer Learning (MTL)将来自少数好监测站点的模型应用到未监测的湖泊深度温度预测中,优于传统的基于过程的模型,该方法易于扩展使用到未监测的环境系统和变量中。
Abstract
Most environmental data come from a minority of well-observed sites. An ongoing challenge in the environmental sciences is transferring knowledge from monitored sites to unobserved sites. Here, we demonstrate a novel tr