I am interested in work and literature on the incremental learning of
Bayesian networks.
Also, any literature on the incremental learning of artificial neural
networks?
Let's say, I have trained a Bayesian network or artificial neural network
usig a set of data. Once I used this set of data, I discarded it because
I do not have space to store it. Now a new set of data becomes available
for the trained Bayesian network or the trained artificial neural network
to do further training on the new set of data. How do I perform more
training
on the trained Bayesian network or the artificial neural network to ensure
that the twice-trained Bayesian network or artificial neural network
fit to both the old set and the new set of data, given I no longer have
the old set of data?
Nong Ye
Arizona State University
