Talk:Boltzmann machine
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Is the Boltzmann machine the same as a Conditional Random Field? If so that should be mentioned somewhere!
- No, it isn't. A CRF can however be viewed as convexified Boltzmann machine with hand-picked features. - DaveWF 06:10, 19 April 2007 (UTC)
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[edit] The threshold
What is the importance of the threshold parameter? How is it set?
- Learned like any other parameter. Just have a connection wired to '+1' all the time instead of another unit. I should add this. - DaveWF 06:10, 19 April 2007 (UTC)
Can threshold be referred to as bias? Also, the link on threshold takes you to the disambiguation page, which has no articles describing threshold in this context.
[edit] The Training Section
I have a problem understanding what is P+(Vα). P+ is the distribution of the states after the values for Vα are fixed. So P+(Vα) should be 1 for those fixed values and 0 for any other values to Vα.
Also, what does α iterate over in the summation for G?
[edit] The cost function
What is the cost function? What cost does it measure? How do we train the network if we have more than one input?
[edit] {-1,1} or {0,1} ?
In the definition of s the article claims that si is either -1 or 1. Five lines below, it says that the nodes are in state 0 or 1, which is also what I found in (admittedly older) literature on the subject. Is the {-1,1} simply wrong or am I missing something? —Preceding unsigned comment added by Drivehonor (talk • contribs) 13:56, 7 August 2007
I think either representation should work. But I'm not sure. Can anyone confirm this? —Preceding unsigned comment added by Zholyte (talk • contribs) 19:47, 10 November 2007 (UTC)
