Microsoft Visual C++ Runtime Error

[will.s.barnett]

Hello, I am new to the forum. I"m a graduate student working on belief networks and their application to ecology. I went through all of the tutorials yesterday, and am in the process of trying to learn the parameters for a belief network I have setup.

I keep running into a runtime error, though. I noticed in a previous post that this might be related to the amount of available RAM on my computer. I'm working on a laptop with 1 GB of RAM, and no other applications running. Is this not sufficient?

I am happy to attach the network and the discretized dataset, if necessary. Thanks in advance. I'm really enjoying the GeNIe program!

[shooltz[BayesFusion]]

I'm working on a laptop with 1 GB of RAM, and no other applications running. Is this not sufficient?

That entirely depends on the network and the evidence set.

I am happy to attach the network and the discretized dataset, if necessary.

Yes, post the files here.

[will.s.barnett]

Thanks for taking the time to look at this. The network and dataset are attached. I also added a comment that explains the correspondence between the nodes and the column names in the data.

[shooltz[BayesFusion]]

I can reproduce the crash on the machine with 2GB. It's caused by excessive memory allocations during EM - we're checking if this can be fixed.

I was able to convert the nodes to plain CPT and run EM successfully. However, conversion back to noisy will be very long.

[will.s.barnett]

Thanks for checking into the error. Maybe I don't understand the nuances of Noisy-Max nodes very well, but shouldn't they simplify computation? I thought that the conditional probability table of the child node (in this case, Milfoil) would be huge if I left it as a "Chance-General" node, and would have much fewer entries with the Noisy-Max designation.

[shooltz[BayesFusion]]

Maybe I don't understand the nuances of Noisy-Max nodes very well, but shouldn't they simplify computation?

They simplify modelling. Computation requires separate code paths activated when noisy nodes are present, or simply uses expanded CPT.

The crash you've found is in the noisy-specific part of EM.