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