Induced semantics for undirected graphs: Another look at the Hammersley-Clifford theorem
dc.contributor.author | Sears, Timothy | |
dc.contributor.author | Sunehag, Peter | |
dc.date.accessioned | 2015-12-10T22:13:49Z | |
dc.date.issued | 2007 | |
dc.date.updated | 2016-02-24T11:43:34Z | |
dc.description.abstract | The Hammersley-Clifford (H-C) theorem relates the factorization properties of a probability distribution to the clique structure of an undirected graph. If a density factorizes according to the clique structure of an undirected graph, the theorem guarantees that the distribution satisfies the Markov property and vice versa. We show how to generalize the H-C theorem to different notions of decomposability and the corresponding generalized-Markov property. Finally we discuss how our technique might be used to arrive at other generalizations of the H-C theorem, inducing a graph semantics adapted to the modeling problem. | |
dc.identifier.isbn | 9780735404687 | |
dc.identifier.uri | http://hdl.handle.net/1885/49933 | |
dc.publisher | American Institute of Physics (AIP) | |
dc.relation.ispartof | Bayesian Inference and Maximum Entropy Methods in Science and Engineering | |
dc.relation.isversionof | 1st Edition | |
dc.subject | Keywords: Graphical models; Hammersley-Clifford theorem; Tsallis statistics | |
dc.title | Induced semantics for undirected graphs: Another look at the Hammersley-Clifford theorem | |
dc.type | Book chapter | |
local.bibliographicCitation.lastpage | 132 | |
local.bibliographicCitation.placeofpublication | Berlin, Germany | |
local.bibliographicCitation.startpage | 125 | |
local.contributor.affiliation | Sears, Timothy, College of Engineering and Computer Science, ANU | |
local.contributor.affiliation | Sunehag, Peter, College of Engineering and Computer Science, ANU | |
local.contributor.authoremail | repository.admin@anu.edu.au | |
local.contributor.authoruid | Sears, Timothy, u4068387 | |
local.contributor.authoruid | Sunehag, Peter, u4753099 | |
local.description.embargo | 2037-12-31 | |
local.description.notes | Imported from ARIES | |
local.identifier.absfor | 080109 - Pattern Recognition and Data Mining | |
local.identifier.ariespublication | u8803936xPUB194 | |
local.identifier.doi | 10.1063/1.2821254 | |
local.identifier.scopusID | 2-s2.0-71449113534 | |
local.identifier.uidSubmittedBy | u8803936 | |
local.type.status | Published Version |
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