Active Learning for
Parameter Estimation in Bayesian Networks
Motivation
Active Learning in Bayes
Nets
Selective versus
Interventional
Parameter estimation
Big Picture
Value of Information
Updating parameter
density
Bayesian point estimation
I
Bayesian point estimation
II
Bayesian estimation
Quality of p(q)
The Querying component
Intuition
Obtaining an Algorithm
Proof Outline
Intuition
Scaling up
The Algorithm
Experiments I
Experiments II
Asia Network
Alarm Network
Asia Network (Uniform
Prior)
Alarm Network (Uniform
Prior)
Conclusions
Future Work