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Oct, 2015
高斯过程随机场
Gaussian Process Random Fields
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David A. Moore, Stuart J. Russell
TL;DR
介绍了一种新的大规模高斯过程的近似方法——高斯过程随机场，在合理精度和计算代价的前提下实现了潜在变量建模和超参数调节，并在合成空间数据和地震事件定位的真实世界应用中展示了其有效性。
Abstract
gaussian processes
have been successful in both supervised and unsupervised machine learning tasks, but their computational complexity has constrained practical applications. We introduce a new
approximation
for
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