Bernal S D_2010.pdf - University of Plymouth

4.1, HMAX AS A BAYESIAN NETWORK
lop-down messages to a node need to be divided by the output A message to obtain the corre­
sponding 7t message from the node above. This solution was proposed by Pearl (1988) and it
avoids caJculaiing the specific n messages for each child node. Instead ii is more effective to
simply feed back ihc belief and let each child node calculate its own input;: message. As will
l>c described later on. in cases where the lolal number of incoming messages is relatively high,
the 71 message can simply lie approximated by the belief.
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