Erich Merrill, Stefan Lee, Li Fuxin, Thomas G. Dietterich, Alan Fern
TL;DR本论文提出了一种使用深度学习模型对不规则采样的连续空间时间过程进行直接学习和预测的方法,并验证了该模型在真实天气数据和星际争霸 II 中的有效性。
Abstract
We consider the problem of modeling the dynamics of continuous
spatial-temporal processes represented by irregular samples through both space
and time. Such processes occur in sensor networks, citizen science, mu