Then, a Gaussian Mixture Model (GMM) predicts whether d is relevant, given a model of a priori relevant documents (which are the documents included in the development set, DEV) and the LM.
d is considered as relevant only if d is close enough both to the documents used to build the LM and to the DEV documents.