from Cambridge University studies
A Gaussian process is a statistical model with similar descriptive power as a neural network.
They function by defining infinitely many Gaussian distributions in space whose mean and variance is a function of a corpus of data.
In my time at Cambridge we have studied such models extensively in the modules 'Probabilistic Machine Learning' and 'Computational Statistics and Machine Learning'