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KDD
2004
ACM
132views Data Mining» more  KDD 2004»
14 years 9 months ago
A probabilistic framework for semi-supervised clustering
Unsupervised clustering can be significantly improved using supervision in the form of pairwise constraints, i.e., pairs of instances labeled as belonging to same or different clu...
Sugato Basu, Mikhail Bilenko, Raymond J. Mooney
ICDM
2003
IEEE
111views Data Mining» more  ICDM 2003»
14 years 2 months ago
OP-Cluster: Clustering by Tendency in High Dimensional Space
Clustering is the process of grouping a set of objects into classes of similar objects. Because of unknownness of the hidden patterns in the data sets, the definition of similari...
Jinze Liu, Wei Wang 0010
SWWS
2008
13 years 10 months ago
A Harmony based Adaptive Ontology Mapping Approach
- Ontology mapping seeks to find semantic correspondences between similar elements of different ontologies. Ontology mapping is critical to achieve semantic interoperability in the...
Ming Mao, Yefei Peng, Michael Spring
ESWS
2006
Springer
14 years 21 days ago
An Iterative Algorithm for Ontology Mapping Capable of Using Training Data
We present a new iterative algorithm for ontology mapping where we combine standard string distance metrics with a structural similarity measure that is based on a vector represent...
Andreas Heß
JSAC
2006
109views more  JSAC 2006»
13 years 9 months ago
Polarized MIMO channels in 3-D: models, measurements and mutual information
4G systems are expected to support data rates of the order of 100 Mbps in the outdoor environment and 1 Gbps in the indoor/stationary environment. In order to support such large p...
Mansoor Shafi, Min Zhang, Aris L. Moustakas, Peter...