what kind of data can be given a gaussian model can you get the likelihood using gp gaussian probability gaussian likelihood definition how to find the likelihood of the model how to determine the likelihood of a noisy annotator using the gp method? py is the set of labels given by the noise experts. _____________________ describes a set of labels given by loud experts. how to determine the likelihood from multiple annotators what is the likelihood of p(y)$? why does it have a gp function what is the likelihood of p(y)$ can you predict the future using multiple annotators which term describes the range in which one group of data point belong to a gaussian distribution? how to learn likelihood using gp why do they think we learn a model from noisy experts how to find the likelihood of a noise annotator when is the likelihood of p(y)$ given what is the likelihood of a noise expert using gp what type of probability is $p(y)