In Defense of Gaussian Process Regression
中文摘要
高斯过程回归适用于小样本数据，在问题结构良好时，能提供关键的不确定性量化。
English Summary
Gaussian Process Regression is ideal for small datasets, providing essential uncertainty quantification for well-structured problems.
Original Excerpt
When your data is small, your uncertainty quantification is important, and your problem is well-structured, why not introduce yourself to… Continue reading on Medium »