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» Learning Term-weighting Functions for Similarity Measures
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ICDM
2010
IEEE
226views Data Mining» more  ICDM 2010»
13 years 4 months ago
Edge Weight Regularization over Multiple Graphs for Similarity Learning
The growth of the web has directly influenced the increase in the availability of relational data. One of the key problems in mining such data is computing the similarity between o...
Pradeep Muthukrishnan, Dragomir R. Radev, Qiaozhu ...
ACL
2006
13 years 7 months ago
Automatic Learning of Textual Entailments with Cross-Pair Similarities
In this paper we define a novel similarity measure between examples of textual entailments and we use it as a kernel function in Support Vector Machines (SVMs). This allows us to ...
Fabio Massimo Zanzotto, Alessandro Moschitti
ICDE
2010
IEEE
171views Database» more  ICDE 2010»
14 years 5 months ago
Surrogate Ranking for Very Expensive Similarity Queries
1 We consider the problem of similarity search in applications where the cost of computing the similarity between two records is very expensive, and the similarity measure is not a...
Chris Jermaine, Fei Xu, Mingxi Wu, Ravi Jampani, T...
EKAW
2008
Springer
13 years 8 months ago
On the Influence of Description Logics Ontologies on Conceptual Similarity
Similarity measures play a key role in the Semantic Web perspective. Indeed, most of the ontology related operations such as ontology learning, ontology alignment, ontology ranking...
Claudia d'Amato, Steffen Staab, Nicola Fanizzi
JMLR
2006
108views more  JMLR 2006»
13 years 6 months ago
Learning Spectral Clustering, With Application To Speech Separation
Spectral clustering refers to a class of techniques which rely on the eigenstructure of a similarity matrix to partition points into disjoint clusters, with points in the same clu...
Francis R. Bach, Michael I. Jordan