Stop: Exploring Bayesian Surprise to Better Train NILM.

Richard Jones Christoph Klemenjak Stephen Makonin Ivan V. Bajic

Published in: NILM@SenSys (2020)

Keyphrases

maximum likelihood
bayesian inference
bayesian networks
data driven
bayesian learning
bayesian estimation
sparse bayesian learning
real time
data sets
case study
posterior probability
statistical inference
image sequences
learning environment
video sequences
posterior distribution