12 citations · 30 across the 11 of their papers we have counts for
3 papers · 1 filter
A Bayesian Approach to (Online) Transfer Learning: Theory and Algorithms
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin +1
Transfer learning is a machine learning paradigm where knowledge from one problem is utilized to solve a new but related problem. While conceivable that knowledge from one task cou…
Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin +1
Transfer learning is a machine learning paradigm where the knowledge from one task is utilized to resolve the problem in a related task. On the one hand, it is conceivable that kno…
Information-theoretic analysis for transfer learning
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin +1
Transfer learning, or domain adaptation, is concerned with machine learning problems in which training and testing data come from possibly different distributions (denoted as a…