Therefore, observing that all sources propose their evidence and make their assertions independently, and taking θ = {H s , R s , Q s , W }, we can write the full joint as: Rs+Qs , we model it by minimizing their KL divergence.
we also minimize: 2.4 Inference The true claim, y m , is a latent variable that is unknown in our problem, so we solve this ap-proximately by using the EM algorithm (Dempster et al., 1977) to first estimate the true claim, then find the maximum a posterior point estimate of the parameters.