Matches in SemOpenAlex for { <https://semopenalex.org/work/W1555384764> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W1555384764 endingPage "367" @default.
- W1555384764 startingPage "360" @default.
- W1555384764 abstract "Learning the sparse structure of a general Markov network is a hard computational problem. One of the main difficulties is the computation of the generally intractable partition function. To circumvent this difficulty, we propose to learn the network structure using an ensemble-oftrees (ET) model. The ET model was first introduced by Meila and Jaakkola (2006), and it represents a multivariate distribution using a mixture of all possible spanning trees. The advantage of the ET model is that, although it needs to sum over super-exponentially many trees, its partition function as well as data likelihood can be computed in a closed form. Furthermore, because the ET model tends to represent a Markov network using as small number of trees as possible, it provides a natural regularization for finding a sparse network structure. Our simulation results show that the proposed ET approach is able to accurately recover the true Markov network connectivity and outperform the state-of-art approaches for both discrete and continuous random variable networks when a small number of data samples is available. Furthermore, we also demonstrate the usage of the ET model for discovering the network of words from blog posts." @default.
- W1555384764 created "2016-06-24" @default.
- W1555384764 creator A5007905483 @default.
- W1555384764 creator A5070881368 @default.
- W1555384764 creator A5084067543 @default.
- W1555384764 creator A5088559134 @default.
- W1555384764 date "2009-04-15" @default.
- W1555384764 modified "2023-09-23" @default.
- W1555384764 title "Learning Sparse Markov Network Structure via Ensemble-of-Trees Models" @default.
- W1555384764 cites W178376298 @default.
- W1555384764 cites W2058168712 @default.
- W1555384764 cites W2100236179 @default.
- W1555384764 cites W2125984043 @default.
- W1555384764 cites W2132555912 @default.
- W1555384764 cites W2134267347 @default.
- W1555384764 cites W2135094946 @default.
- W1555384764 cites W2142241599 @default.
- W1555384764 cites W2147071755 @default.
- W1555384764 cites W2163166770 @default.
- W1555384764 cites W2164319128 @default.
- W1555384764 cites W2170744156 @default.
- W1555384764 cites W2798766386 @default.
- W1555384764 hasPublicationYear "2009" @default.
- W1555384764 type Work @default.
- W1555384764 sameAs 1555384764 @default.
- W1555384764 citedByCount "7" @default.
- W1555384764 countsByYear W15553847642013 @default.
- W1555384764 countsByYear W15553847642014 @default.
- W1555384764 countsByYear W15553847642015 @default.
- W1555384764 countsByYear W15553847642020 @default.
- W1555384764 crossrefType "proceedings-article" @default.
- W1555384764 hasAuthorship W1555384764A5007905483 @default.
- W1555384764 hasAuthorship W1555384764A5070881368 @default.
- W1555384764 hasAuthorship W1555384764A5084067543 @default.
- W1555384764 hasAuthorship W1555384764A5088559134 @default.
- W1555384764 hasConcept C105795698 @default.
- W1555384764 hasConcept C119857082 @default.
- W1555384764 hasConcept C154945302 @default.
- W1555384764 hasConcept C159886148 @default.
- W1555384764 hasConcept C163836022 @default.
- W1555384764 hasConcept C33923547 @default.
- W1555384764 hasConcept C41008148 @default.
- W1555384764 hasConcept C54907487 @default.
- W1555384764 hasConcept C80444323 @default.
- W1555384764 hasConcept C98763669 @default.
- W1555384764 hasConceptScore W1555384764C105795698 @default.
- W1555384764 hasConceptScore W1555384764C119857082 @default.
- W1555384764 hasConceptScore W1555384764C154945302 @default.
- W1555384764 hasConceptScore W1555384764C159886148 @default.
- W1555384764 hasConceptScore W1555384764C163836022 @default.
- W1555384764 hasConceptScore W1555384764C33923547 @default.
- W1555384764 hasConceptScore W1555384764C41008148 @default.
- W1555384764 hasConceptScore W1555384764C54907487 @default.
- W1555384764 hasConceptScore W1555384764C80444323 @default.
- W1555384764 hasConceptScore W1555384764C98763669 @default.
- W1555384764 hasLocation W15553847641 @default.
- W1555384764 hasOpenAccess W1555384764 @default.
- W1555384764 hasPrimaryLocation W15553847641 @default.
- W1555384764 hasRelatedWork W111894482 @default.
- W1555384764 hasRelatedWork W1547598094 @default.
- W1555384764 hasRelatedWork W1592231116 @default.
- W1555384764 hasRelatedWork W1634338072 @default.
- W1555384764 hasRelatedWork W1989816336 @default.
- W1555384764 hasRelatedWork W2058168712 @default.
- W1555384764 hasRelatedWork W2058972116 @default.
- W1555384764 hasRelatedWork W2106122512 @default.
- W1555384764 hasRelatedWork W2164319128 @default.
- W1555384764 hasRelatedWork W2541398239 @default.
- W1555384764 hasRelatedWork W2617779739 @default.
- W1555384764 hasRelatedWork W2751177214 @default.
- W1555384764 hasRelatedWork W2770833882 @default.
- W1555384764 hasRelatedWork W2800859579 @default.
- W1555384764 hasRelatedWork W2963162530 @default.
- W1555384764 hasRelatedWork W3091424143 @default.
- W1555384764 hasRelatedWork W3178244551 @default.
- W1555384764 hasRelatedWork W3207118773 @default.
- W1555384764 hasRelatedWork W323443579 @default.
- W1555384764 hasRelatedWork W777895233 @default.
- W1555384764 isParatext "false" @default.
- W1555384764 isRetracted "false" @default.
- W1555384764 magId "1555384764" @default.
- W1555384764 workType "article" @default.