Matches in SemOpenAlex for { <https://semopenalex.org/work/W2080591292> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W2080591292 endingPage "1704" @default.
- W2080591292 startingPage "1690" @default.
- W2080591292 abstract "We introduce a new estimate of mutual information between a dataset and a target variable that can be maximised analytically and has broad applicability in the field of machine learning and statistical pattern recognition. This estimate has previously been employed implicitly as an approximation to quadratic mutual information. In this paper we will study the properties of these estimates of mutual information in more detail, and provide a derivation from a perspective of pairwise interactions. From this perspective, we will show a connection between our proposed estimate and Laplacian eigenmaps, which so far has not been shown to be related to mutual information. Compared with other popular measures of mutual information, which can only be maximised through an iterative process, ours can be maximised much more efficiently and reliably via closed-form eigendecomposition." @default.
- W2080591292 created "2016-06-24" @default.
- W2080591292 creator A5004907722 @default.
- W2080591292 creator A5022425798 @default.
- W2080591292 date "2013-05-08" @default.
- W2080591292 modified "2023-09-29" @default.
- W2080591292 title "An Estimate of Mutual Information that Permits Closed-Form Optimisation" @default.
- W2080591292 cites W1995875735 @default.
- W2080591292 cites W2056024692 @default.
- W2080591292 cites W2097308346 @default.
- W2080591292 cites W2116141292 @default.
- W2080591292 cites W2118020555 @default.
- W2080591292 cites W2125498357 @default.
- W2080591292 cites W2132549764 @default.
- W2080591292 doi "https://doi.org/10.3390/e15051690" @default.
- W2080591292 hasPublicationYear "2013" @default.
- W2080591292 type Work @default.
- W2080591292 sameAs 2080591292 @default.
- W2080591292 citedByCount "4" @default.
- W2080591292 countsByYear W20805912922014 @default.
- W2080591292 countsByYear W20805912922016 @default.
- W2080591292 countsByYear W20805912922018 @default.
- W2080591292 countsByYear W20805912922021 @default.
- W2080591292 crossrefType "journal-article" @default.
- W2080591292 hasAuthorship W2080591292A5004907722 @default.
- W2080591292 hasAuthorship W2080591292A5022425798 @default.
- W2080591292 hasBestOaLocation W20805912921 @default.
- W2080591292 hasConcept C105795698 @default.
- W2080591292 hasConcept C109546454 @default.
- W2080591292 hasConcept C124805900 @default.
- W2080591292 hasConcept C12520029 @default.
- W2080591292 hasConcept C12713177 @default.
- W2080591292 hasConcept C129844170 @default.
- W2080591292 hasConcept C134306372 @default.
- W2080591292 hasConcept C152139883 @default.
- W2080591292 hasConcept C154945302 @default.
- W2080591292 hasConcept C165700671 @default.
- W2080591292 hasConcept C182365436 @default.
- W2080591292 hasConcept C184898388 @default.
- W2080591292 hasConcept C195065555 @default.
- W2080591292 hasConcept C2524010 @default.
- W2080591292 hasConcept C33923547 @default.
- W2080591292 hasConcept C41008148 @default.
- W2080591292 hasConcept C52622258 @default.
- W2080591292 hasConceptScore W2080591292C105795698 @default.
- W2080591292 hasConceptScore W2080591292C109546454 @default.
- W2080591292 hasConceptScore W2080591292C124805900 @default.
- W2080591292 hasConceptScore W2080591292C12520029 @default.
- W2080591292 hasConceptScore W2080591292C12713177 @default.
- W2080591292 hasConceptScore W2080591292C129844170 @default.
- W2080591292 hasConceptScore W2080591292C134306372 @default.
- W2080591292 hasConceptScore W2080591292C152139883 @default.
- W2080591292 hasConceptScore W2080591292C154945302 @default.
- W2080591292 hasConceptScore W2080591292C165700671 @default.
- W2080591292 hasConceptScore W2080591292C182365436 @default.
- W2080591292 hasConceptScore W2080591292C184898388 @default.
- W2080591292 hasConceptScore W2080591292C195065555 @default.
- W2080591292 hasConceptScore W2080591292C2524010 @default.
- W2080591292 hasConceptScore W2080591292C33923547 @default.
- W2080591292 hasConceptScore W2080591292C41008148 @default.
- W2080591292 hasConceptScore W2080591292C52622258 @default.
- W2080591292 hasIssue "12" @default.
- W2080591292 hasLocation W20805912921 @default.
- W2080591292 hasOpenAccess W2080591292 @default.
- W2080591292 hasPrimaryLocation W20805912921 @default.
- W2080591292 hasRelatedWork W181490901 @default.
- W2080591292 hasRelatedWork W2080591292 @default.
- W2080591292 hasRelatedWork W2939693078 @default.
- W2080591292 hasRelatedWork W2945368966 @default.
- W2080591292 hasRelatedWork W2945749789 @default.
- W2080591292 hasRelatedWork W2999953447 @default.
- W2080591292 hasRelatedWork W3212925274 @default.
- W2080591292 hasRelatedWork W4249697424 @default.
- W2080591292 hasRelatedWork W4288350923 @default.
- W2080591292 hasRelatedWork W4313429060 @default.
- W2080591292 hasVolume "15" @default.
- W2080591292 isParatext "false" @default.
- W2080591292 isRetracted "false" @default.
- W2080591292 magId "2080591292" @default.
- W2080591292 workType "article" @default.