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GRC
2010
IEEE
15 years 7 months ago
Learning Multiple Latent Variables with Self-Organizing Maps
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
Lili Zhang, Erzsébet Merényi
DMIN
2008
190views Data Mining» more  DMIN 2008»
15 years 7 months ago
Optimization of Self-Organizing Maps Ensemble in Prediction
The knowledge discovery process encounters the difficulties to analyze large amount of data. Indeed, some theoretical problems related to high dimensional spaces then appear and de...
Elie Prudhomme, Stéphane Lallich
170
Voted
BMCBI
2008
138views more  BMCBI 2008»
15 years 6 months ago
Inference of haplotypic phase and missing genotypes in polyploid organisms and variable copy number genomic regions
Background: The power of haplotype-based methods for association studies, identification of regions under selection, and ancestral inference, is well-established for diploid organ...
Shu-Yi Su, Jonathan White, David J. Balding, Lachl...
177
Voted
CLUSTER
2004
IEEE
15 years 5 months ago
Resource Management for Ad-Hoc Wireless Networks with Cluster Organization
Boosted by technology advancements, government and commercial interest, ad-hoc wireless networks are emerging as a serious platform for distributed mission-critical applications. G...
Ionut Cardei, Srivatsan Varadarajan, Allalaghatta ...
ITC
1996
IEEE
96views Hardware» more  ITC 1996»
15 years 10 months ago
A Roadmap for Boundary-Scan Test Reuse
This paper proposes a Layered Model for boundaryscan testing to help identify opportunities for standardization. Serial Vector Format [1] and an accompanying Application Programmi...
D. Eugene Wedge, Tom Conner