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» Uncertainty Reasoning for Linked Data
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ECSQARU
1999
Springer
13 years 10 months ago
Anchoring Symbols to Vision Data by Fuzzy Logic
Intelligent agents embedded in physical environments need ity to connect, or anchor, the symbols used to perform abstract reasoning to the physical entities which these symbols ref...
Silvia Coradeschi, Alessandro Saffiotti
ICTAI
2007
IEEE
14 years 13 days ago
Conceptual Clustering Categorical Data with Uncertainty
Many real datasets have uncertain categorical attribute values that are only approximately measured or imputed. Uncertainty in categorical data is commonplace in many applications...
Yuni Xia, Bowei Xi
BMCBI
2006
119views more  BMCBI 2006»
13 years 6 months ago
LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
Guoli Wang, Andrew V. Kossenkov, Michael F. Ochs
DLOG
2011
12 years 9 months ago
Integrity Constraints for Linked Data
Linked Data makes one central addition to the Semantic Web principles: all entity URIs should be dereferenceable to provide an authoritative RDF representation. URIs in a linked da...
Alan Jeffrey, Peter F. Patel-Schneider
ACL
2010
13 years 4 months ago
Active Learning-Based Elicitation for Semi-Supervised Word Alignment
Semi-supervised word alignment aims to improve the accuracy of automatic word alignment by incorporating full or partial manual alignments. Motivated by standard active learning q...
Vamshi Ambati, Stephan Vogel, Jaime G. Carbonell