Asymmetric Transfer Learning with Deep Gaussian Processes

Melih Kandemir

Abstract: We introduce a novel Gaussian process based Bayesian model for asymmetric transfer learning. We adopt a two-layer feed-forward deep Gaussian process as the task learner of source and target domains...