312 search results - page 5 / 63 » On distance and similarity in fold space |
153
Voted
ASWC
2009
Springer
15 years 4 months ago
2009
Springer
Semantic Web Services (SWS) aim at the automated discovery and orchestration of Web services on the basis of comprehensive, machine-interpretable semantic descriptions. Since SWS a...
149
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ICDE
1999
IEEE
15 years 10 months ago
1999
IEEE
Clustering partitions a collection of objects into groups called clusters, such that similar objects fall into the same group. Similarity between objects is defined by a distance ...
129
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ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
Correlation is one of the most widely used similarity measures in machine learning like Euclidean and Mahalanobis distances. However, compared with proposed numerous discriminant ...
VLDB
1997
ACM
15 years 29 days ago
1997
ACM
A new access method, called M-tree, is proposed to organize and search large data sets from a generic "metric space", i.e. where object proximity is only defined by a di...
MLDM
2005
Springer
15 years 2 months ago
2005
Springer
Assessing the similarity between objects is a prerequisite for many data mining techniques. This paper introduces a novel approach to learn distance functions that maximizes the c...