Zero matrix - Revision history

en>Cydebot: Robot - Moving category Zero to :Category:0 (number) per CFD at Wikipedia:Categories for discussion/Log/2014 November 19.

2014-11-28T22:00:02Z

Robot - Moving category Zero to Category:0 (number) per CFD at Wikipedia:Categories for discussion/Log/2014 November 19.

← Older revision		Revision as of 00:00, 29 November 2014
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	[~~[Image~~:~~Diagram of a Markov blanket~~.~~svg\|frame\|In a Bayesian network, the Markov blanket of node ''A'' includes its parents, children and the other parents of all of its children~~.]]		Nice to satisfy you, I am Marvella Shryock. Her family members life in [http://Www.onlinedatingmagazine.com/STDs/STDadvice/treatablestds.html Minnesota]. Hiring is her day at home std testing occupation now but she's usually needed her personal company. One of the very best things in the world for me is to [http://www.newhealthguide.org/Types-Of-Bacteria.html std testing] at home do aerobics and I've been performing it over the counter std test for quite a whilst.<br><br>My blog [http://webs.galiciadigital.com/directorio/busqueda?title-web=Eye+Diseases+Signs+And+Symptoms+Leads+To+And+Types&field_url_pax_web_url=http%3A%2F%2Fstdtestguide.com%2Fstd-testing%2Fhome-std-test%2F&cat=All&tid=All at home std test]

	~~In [[machine learning]], the '''Markov blanket''' for a [[Vertex (graph theory)\|node]] <math>A<~~/~~math> in a [[Bayesian network]] is the set of nodes <math>\partial A<~~/~~math> composed of <math>A<~~/~~math>'s parents, its children, and its children's other parents~~. ~~In a [[Markov network~~]~~], the Markov blanket of a node~~ is ~~its set of neighboring nodes~~. ~~A Markov blanket may also be denoted by <math>MB(A)</math>.~~

	~~Every set~~ of ~~nodes~~ in the ~~network~~ is [~~[conditional independence\|conditionally independent]] of <math>A<~~/~~math> when conditioned on the set <math>\partial A<~~/~~math>, that is, when conditioned on the Markov blanket of the node <math>A<~~/~~math>~~. ~~The probability has~~ the ~~[[Markov property]]; formally,~~ for ~~distinct nodes~~ <~~math~~>A<~~/math~~> ~~and <math>B<~~/~~math>:~~

	~~:<math>\Pr(A \mid \partial A , B) = \Pr(A \mid \partial A). \!<~~/~~math>~~

	The Markov blanket of a node contains all the variables that shield the node from the rest of the network. This means that the Markov blanket of a node is the only knowledge needed to predict the behavior of that node. ~~The term was coined by [[Judea Pearl\| Pearl]] in 1988~~.~~<ref>{{cite book \|last=Pearl \|first=Judea \|authorlink=Judea Pearl \|~~title=~~Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference \|publisher=Morgan Kaufmann \|location~~=~~San Mateo CA \|year=1988 \|isbn=0~~-~~934613~~-73-~~7 \| series=Representation and Reasoning Series}}</ref>~~

	In a Bayesian network, the values of the parents and children of a node evidently give information about that node; however, its children's parents also have to be included, because they can be used to explain away the node in question.

	~~== See also~~ ==
	* [[Moral graph]]

	~~==Notes==~~
	~~<references/>~~

	~~[[Category:Probability theory]]~~
	~~[[Category:Bayesian networks]]~~
	~~[[Category:Markov networks]~~]

en>David Eppstein: Better sources

2013-10-28T01:41:31Z

Better sources

← Older revision		Revision as of 03:41, 28 October 2013
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	~~Greetings! I am Marvella~~ and ~~I feel comfortable when people use~~ the ~~full name~~. ~~Body developing~~ is ~~what my family members~~ and ~~I appreciate. Minnesota is where he~~'s ~~been living for many years~~. ~~Bookkeeping~~ is ~~her working day occupation now~~.<br><br>~~Here~~ is ~~my webpage~~ :: ~~meal delivery service~~ ([~~http~~:/~~/smartmobi~~.~~info~~/~~weightlossfoodprograms67803 related webpage~~])		[[Image:Diagram of a Markov blanket.svg\|frame\|In a Bayesian network, the Markov blanket of node ''A'' includes its parents, children and the other parents of all of its children.]]

			In [[machine learning]], the '''Markov blanket''' for a [[Vertex (graph theory)\|node]] <math>A</math> in a [[Bayesian network]] is the set of nodes <math>\partial A</math> composed of <math>A</math>'s parents, its children, and its children's other parents. In a [[Markov network]], the Markov blanket of a node is its set of neighboring nodes. A Markov blanket may also be denoted by <math>MB(A)</math>.

			Every set of nodes in the network is [[conditional independence\|conditionally independent]] of <math>A</math> when conditioned on the set <math>\partial A</math>, that is, when conditioned on the Markov blanket of the node <math>A</math>. The probability has the [[Markov property]]; formally, for distinct nodes <math>A</math> and <math>B</math>:

			:<math>\Pr(A \mid \partial A , B) = \Pr(A \mid \partial A). \!</math>

			The Markov blanket of a node contains all the variables that shield the node from the rest of the network. This means that the Markov blanket of a node is the only knowledge needed to predict the behavior of that node. The term was coined by [[Judea Pearl\| Pearl]] in 1988.<ref>{{cite book \|last=Pearl \|first=Judea \|authorlink=Judea Pearl \|title=Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference \|publisher=Morgan Kaufmann \|location=San Mateo CA \|year=1988 \|isbn=0-934613-73-7 \| series=Representation and Reasoning Series}}</ref>

			In a Bayesian network, the values of the parents and children of a node evidently give information about that node; however, its children's parents also have to be included, because they can be used to explain away the node in question.

			== See also ==
			* [[Moral graph]]

			==Notes==
			<references/>

			[[Category:Probability theory]]
			[[Category:Bayesian networks]]
			[[Category:Markov networks]]

89.101.218.218 at 21:31, 30 November 2011

2011-11-30T21:31:56Z

New page

Greetings! I am Marvella and I feel comfortable when people use the full name. Body developing is what my family members and I appreciate. Minnesota is where he's been living for many years. Bookkeeping is her working day occupation now.<br><br>Here is my webpage :: meal delivery service ([http://smartmobi.info/weightlossfoodprograms67803 related webpage])