Personalized Online Learning with Pseudo-Ground Truth
Viktor Losing,Martina Hasenjäger,Taizo Yoshikawa,Viktor Losing,Martina Hasenjäger,Taizo Yoshikawa
Personalized online machine learning allows a very accurate modelling of individual behavior and demands. In particular, a system that dynamically adapts during runtime can initiate a continuous collaboration with its user where both alternately adjust to each other to maximize the system's utility. However, in application scenarios based on supervised learning it is often unclear how to obtain th...
