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« on: November 24, 2009, 03:06:36 »
I am using a BN containing both continuous and discrete nodes. I also have a version of the same BN using all discrete nodes (the Gaussian nodes are discretized). I am using the 64-bit version of Hugin.
When I run the model with both continuous and discrete nodes, I receive an out of memory when memory demands reach ~10.5GB (watching the memory demands in the task manager). When I use the the BN with strictly discrete nodes, I do not receive an out-of-memory error until Hugin has accessed over 50GB of memory (including virtual memory).
I have decided to make use of continuous nodes to obtain increases in computational efficiency (because we know that the junction tree algorithm is exponential in the size of the largest clique when we use discrete nodes and but cubic when we use continuous nodes). However, when I saw the reduced performance associated with the hybrid BN, I was puzzled. Is there any reason I should be seeing the result I described above? If not, is there any common mistake I may be making?
Thank you for your assistance.