Author Topic: Hidden node states and learning from data  (Read 8839 times)

Offline mh

  • Newbie
  • *
  • Posts: 3
    • View Profile
Hidden node states and learning from data
« on: November 07, 2012, 11:05:13 »
Hi,

I am trying to learn a BN from data which does not contain any information on one network variable. When I learn the model e.g. with PC+EM, this hidden variable ends up having a single state (I am using Hugin v7.01). I would like it to have several states. Is it possible to somehow define the states of a hidden variable for the learning, if I know them? Or should I just learn the structure first, then manually add more states to the hidden variable, and then use EM separately for learning the probability distributions?

-mh

Offline Anders L Madsen

  • HUGIN Expert
  • Hero Member
  • *****
  • Posts: 2295
    • View Profile
Re: Hidden node states and learning from data
« Reply #1 on: November 08, 2012, 09:50:10 »
Hi

Quote
Is it possible to somehow define the states of a hidden variable for the learning, if I know them?

You will have to do structure learning and manually add the states of a hidden node before running EM. It is not possible to add states to a node in the structure learning wizard.

Quote
Or should I just learn the structure first, then manually add more states to the hidden variable, and then use EM separately for learning the probability distributions?
Yes.
HUGIN EXPERT A/S