# Inductive Bias in Gaussian process

All supervised learning techniques have some kind of an inductive bias. What is the inductive bias in Gaussian process models ?

$$k_{SE}(x, x') = \exp \left( - \frac{||x - x'||_2^2}{2l^2} \right)$$
where $l$ is the characteristic length-scale. This kernel specifies that an unobserved point will be similar to each observed point as an exponentially decaying function of the Euclidean distance between the two points.