Gaussian processes(GP) are probabilistic kernel machines and moderately simple to implement and use without loss of performance compared with other kernel methods.

• 高斯过程一种具有概率意义的核学习机,在不损失性能的条件下,与其它核方法相比,有着其容易实现的优点。