Talk:Boltzmann machine

message: Why does the global energy function have:
:\sum\limits_{i<j}\cdots
Shouldn't this be:
:\sum\limits_{i,j} \cdots
But I could be misunderstanding...
129.215.26.79 (talk) 15:31, 13 May 2014 (UTC)
replies: text: Never mind I see it just saves having to divide by two to account for double counting. 129.215.26.79 (talk) 12:43, 15 May 2014 (UTC)
replies: text: Looking at it from the point of view of a programmer, it says "Don't do all the work twice". ;-) 92.0.230.198 (talk) 17:25, 27 June 2015 (UTC)
thread_title:  Global Energy 

message: I removed the minus sign from the RHS of this:
:\frac{\partial{G}}{\partial{w_{ij}}} = \frac{1}{T}[p_{ij}^{+}-p_{ij}^{-}]
If p+ is clamped and p- is unclamped, then we want to make the weights MORE like the correlation of the clamped and less like unclamped, I think ... please check this!  Charles Fox
:You're incorrect, the minus sign is needed  —Preceding unsigned comment added by 72.137.60.77 (talk) 17:36, 5 April 2009 (UTC)
thread_title:  Training sign 

message: 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)
thread_title:  CRF 

message: 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)
thread_title:  The threshold 

message: 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)
thread_title:  {-1,1} or {0,1} ? 

message: WHY is it called a Boltzmann machine?   Is it named after Ludwig Boltzmann?  The Ludwig Boltzmann article references this one... but that can't be determinant.  --Nehushtan (talk) 22:10, 12 January 2009 (UTC)
replies: text: Yes, it's named for Ludwig Boltzmann. AmiDaniel (talk) 08:31, 26 September 2011 (UTC)
replies: text: Because the underlying energy minimization strategy involves the Boltzmann Distribution p.r.newman (talk) 13:45, 19 May 2013 (UTC)
thread_title:  Etimology 

message: Question, "Later, the weights are updated to maximize the probability of the network producing the completed data." What's this mean ? Is this new phase of learning ? Is this mean that :p_{ij}^{+} are set as constatn in this phase - compute as a characteristic  of learning set ? - for example if our data set is {{1,1,0},{1,0,1},{1,0,0}} then :p_{12}^{+}=1/3,  :p_{13}^{+}1/3,  :p_{23}^{+}=0 in all later iterations ? Peter 212.76.37.154 (talk) 16:04, 28 January 2009 (UTC)
thread_title:  Question : the new phase of learning ?

message: The first paragraph (the description) fails to describe what Boltzmann machine is. It only talks about what it is not. Given that how many things are not a Boltzmann machine, it is a bit wasteful... The class, where this particular network belongs (and where this article links it to) is lacking a description (is a stub / something automatically generated and not informative). Other explanations are given by counterexample. I.e. it says that this network is a counterpart of something else and that it can't be used for something. Neither statement is helpful in understanding of what it is or where it can be useful. 79.181.224.222 (talk) 22:19, 16 December 2012 (UTC)
thread_title:  Please improve the first paragraph 

message: I move the Ackley et al. citation in the article to be an in-line reference but then got daunted by trying to bring the other citations and further readings into line with Wikipedia standards.  I'll try and get back to it but hope others will feel free to take it on!  p.r.newman (talk) 13:45, 19 May 2013 (UTC)
thread_title:  Tidy up of citations needed 

message: The article tells us what it looks like and how to train it but I can't for the life of me see what it takes as input and what it gives as output. A bit more on that and especially an example or two would be a big improvement. 92.0.230.198 (talk) 17:31, 27 June 2015 (UTC)
thread_title:  Yes, but does it ''do''? What is it ''for''? ;o) 

message: You might want to use the image
for the article. --MartinThoma (talk) 23:07, 12 February 2016 (UTC)
thread_title:  Image 

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thread_title:  External links modified 

message: I read the article but there is scant indication literally of what it does. It would be helpful to list some examples, especially what it is doing for a user. The article is the "how" of the network. Jazzbox (talk) 23:27, 29 May 2020 (UTC)
thread_title:  What does it actually do? 

message: The introductory paragraph of this article is a epistemological train-wreck. Lots of related terms are being randomly thrown around
with no connection or coherence. Hinton's own Scholarpedia article is a good start. Probably makes sense to be fair, but Boltzmann
Machine was a LEARNING model that had nothing to do with Spin Glasses which are COMBINATORIAL physics problems. 
It looks as if the article is hastily written by a graduate student who is writing a term paper, and not by an expert.  — Preceding unsigned comment added by 128.111.64.109 (talk) 16:03, 24 August 2020 (UTC)
thread_title:  The introduction and description is a mess 

message: the probability that s_i=1 is const*\sum_{j\neq i} exp(-\beta E(s_j with s_i=1)).
So the rather cumbersome calculation in the middle of the article should be revised, because the partial sum needed to correctly defined p(s_i=1) or 0 are omitted 24.120.54.52 (talk) 17:18, 10 March 2023 (UTC)
thread_title:  the link between E_{i=off} and p_{i=off} is not correct