A Conditional One‑Output Likelihood Formulation for Multitask Gaussian Processes
"Experimental results over synthetic and real problems confirm the advantages of this inference approach in its ability to accurately recover the original noise and signal matrices, as well as the achieved performance improvement in comparison to other state of art MTGP approaches."