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ICDM
2003
IEEE
158views Data Mining» more  ICDM 2003»
15 years 11 months ago
Combining Multiple Weak Clusterings
A data set can be clustered in many ways depending on the clustering algorithm employed, parameter settings used and other factors. Can multiple clusterings be combined so that th...
Alexander P. Topchy, Anil K. Jain, William F. Punc...
IPPS
2007
IEEE
16 years 13 days ago
Combining Compression, Encryption and Fault-tolerant Coding for Distributed Storage
Storing data in distributed systems aims to offer higher bandwidth and scalability than storing locally. But, a couple of disadvantageous issues must be taken into account such as...
Peter Sobe, Kathrin Peter
130
Voted
ENTCS
2008
89views more  ENTCS 2008»
15 years 6 months ago
CC(X): Semantic Combination of Congruence Closure with Solvable Theories
We present a generic congruence closure algorithm for deciding ground formulas in the combination of the theory of equality with uninterpreted symbols and an arbitrary built-in so...
Sylvain Conchon, Evelyne Contejean, Johannes Kanig...
151
Voted
DAS
2006
Springer
15 years 9 months ago
Combining Multiple Classifiers for Faster Optical Character Recognition
Traditional approaches to combining classifiers attempt to improve classification accuracy at the cost of increased processing. They may be viewed as providing an accuracy-speed tr...
Kumar Chellapilla, Michael Shilman, Patrice Simard
SDM
2010
SIAM
158views Data Mining» more  SDM 2010»
15 years 7 months ago
On the Use of Combining Rules in Relational Probability Trees
A relational probability tree (RPT) is a type of decision tree that can be used for probabilistic classification of instances with a relational structure. Each leaf of an RPT cont...
Daan Fierens