additional use? edit

There's also a more general meaning to "Markov blanket" used in at least one book on pattern recognition, or perhaps "additional use". When removing redundant variables one may start out with all variables, removing one at a time. Then the markov blanket of a variable, far as I recall, is a set of variables that make the given variable redundant. If the blanket is found, it can then be safely removed and it won't be needed after future iterations.

Co-parents edit

I would like to suggest that "children's parents" be replaced by the term "co-parents".

I think that this is technically more accurate since the term "co-parents" excludes the concerned node A that we wish to separate from the graph while "children's parents" involves also A.

Secondly, it is a single word and perhaps easier to remember and helps visualise the relationship of node A with the concerned nodes. Gugux (talk) 18:03, 6 March 2008 (UTC)Reply

I agree. --Tennenrishin (talk) 22:40, 17 July 2011 (UTC)Reply
I agree with this suggestion, but is it already used in the litterature? LaurentPerrinet (talk) 07:59, 19 September 2016 (UTC)Reply

Conditional Independence edit

I changed   to   because the   sign means intersection, and the intersection   only includes the node  . Instead we want the union of   and  , which would be  , but I believe the comma is more standard notation. Sunbeam44 (talk) 22:31, 11 April 2008 (UTC)Reply

I just realized I was confusing sets of nodes with probability notation. Union would also be incorrect. However, using the intersection notation on variables is confusing-- this notation is typically used for an intersection of events. Since here we have variables and not events, the short-hand notation of comma is better in my opinion. Sunbeam44 (talk) 18:07, 23 May 2008 (UTC)Reply

Infer "with"? Is "infer" technical jargon in opening sentence? If not it should be "from" (infer from) and not "with". If so, please link "infer" to a relevant article. edit

"In statistics and machine learning, when one wants to infer a random variable with a set of variables, usually a subset is enough, and other variables are useless."--209.204.41.233 (talk) 13:22, 12 October 2021 (UTC)Reply