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BMCBI
2008
134views more  BMCBI 2008»
15 years 1 months ago
Clustering cancer gene expression data: a comparative study
Background The use of clustering methods for the discovery of cancer subtypes has drawn a great deal of attention in the scientific community. While bioinformaticians have propose...
Marcílio Carlos Pereira de Souto, Ivan G. C...
KDD
2005
ACM
127views Data Mining» more  KDD 2005»
16 years 2 months ago
Detection of emerging space-time clusters
We propose a new class of spatio-temporal cluster detection methods designed for the rapid detection of emerging space-time clusters. We focus on the motivating application of pro...
Daniel B. Neill, Andrew W. Moore, Maheshkumar Sabh...
TODAES
2002
134views more  TODAES 2002»
15 years 1 months ago
False-noise analysis using logic implications
ct Cross-coupled noise analysis has become a critical concern in today's VLSI designs. Typically, noise analysis makes an assumption that all aggressing nets can simultaneousl...
Alexey Glebov, Sergey Gavrilov, David Blaauw, Vlad...
TARK
1998
Springer
15 years 5 months ago
The Learning Power of Belief Revision
Belief revision theory aims to describe how one should change one's beliefs when they are contradicted by newly input information. The guiding principle of belief revision th...
Kevin T. Kelly
VLDB
1993
ACM
152views Database» more  VLDB 1993»
15 years 5 months ago
Declustering Objects for Visualization
In this paper we propose a new declustering method which is particularly suitable for image and cartographic databases used for visualization. Our declustering method is based on ...
Ling Tony Chen, Doron Rotem