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ICIP
2005
IEEE
14 years 6 months ago
Generalized Wiener estimation algorithms based on a family of heavy-tail distributions
A fundamental problem in signal processing is to estimate signal from noisy observations. When some prior information about the statistical models of the signal and noise is avail...
Guang Deng
ICDM
2006
IEEE
138views Data Mining» more  ICDM 2006»
13 years 11 months ago
Adaptive Blocking: Learning to Scale Up Record Linkage
Many information integration tasks require computing similarity between pairs of objects. Pairwise similarity computations are particularly important in record linkage systems, as...
Mikhail Bilenko, Beena Kamath, Raymond J. Mooney
DMKD
2004
ACM
139views Data Mining» more  DMKD 2004»
13 years 10 months ago
Iterative record linkage for cleaning and integration
Record linkage, the problem of determining when two records refer to the same entity, has applications for both data cleaning (deduplication) and for integrating data from multipl...
Indrajit Bhattacharya, Lise Getoor
GPEM
2002
95views more  GPEM 2002»
13 years 4 months ago
On Appropriate Adaptation Levels for the Learning of Gene Linkage
A number of algorithms have been proposed aimed at tackling the problem of learning "Gene Linkage" within the context of genetic optimisation, that is to say, the problem...
James Smith
BMCBI
2011
12 years 8 months ago
A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
Background: Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1...
Raphael Mourad, Christine Sinoquet, Philippe Leray