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» Structure learning of Bayesian networks using constraints
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EXACT
2009
13 years 4 months ago
Towards the Explanation of Workflows
Across many fields involving complex computing, software systems are being augmented with workflow logging functionality. The log data can be effectively organized using declarativ...
James Michaelis, Li Ding, Deborah L. McGuinness
CVPR
2009
IEEE
15 years 1 months ago
Epitomized Priors for Multi-labeling Problems
Image parsing remains difficult due to the need to combine local and contextual information when labeling a scene. We approach this problem by using the epitome as a prior over ...
Jonathan Warrell, Simon J. D. Prince, Alastair P. ...
JAIR
2007
162views more  JAIR 2007»
13 years 6 months ago
Knowledge Derived From Wikipedia For Computing Semantic Relatedness
Wikipedia provides a semantic network for computing semantic relatedness in a more structured fashion than a search engine and with more coverage than WordNet. We present experime...
Simone Paolo Ponzetto, Michael Strube
INFORMS
1998
100views more  INFORMS 1998»
13 years 6 months ago
Feature Selection via Mathematical Programming
The problem of discriminating between two nite point sets in n-dimensional feature space by a separating plane that utilizes as few of the features as possible, is formulated as a...
Paul S. Bradley, Olvi L. Mangasarian, W. Nick Stre...
WWW
2011
ACM
13 years 1 months ago
Pragmatic evaluation of folksonomies
Recently, a number of algorithms have been proposed to obtain hierarchical structures — so-called folksonomies — from social tagging data. Work on these algorithms is in part ...
Denis Helic, Markus Strohmaier, Christoph Trattner...