In this paper, we investigate a new machine learning framework called Online Transfer Learning (OTL) that aims to transfer knowledge from some source domain to an online learning ...
Facilitating the transfer of knowledge between knowledge workers represents one of the main challenges of knowledge management. Knowledge transfer instruments, such as the experie...
Markus Strohmaier, Eric S. K. Yu, Jennifer Horkoff...
In this paper we model relational random variables on the edges of a network using Gaussian processes (GPs). We describe appropriate GP priors, i.e., covariance functions, for dir...
This work represents the first step towards a task library system in the reinforcement learning domain. Task libraries could be useful in speeding up the learning of new tasks th...
James L. Carroll, Todd S. Peterson, Kevin D. Seppi