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GRC
2010
IEEE
13 years 8 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
INFORMS
1998
100views more  INFORMS 1998»
13 years 7 months ago
Feature Selection via Mathematical Programming
The problem of discriminating between two nite point sets in n-dimensional feature space by a separating plane that utilizes as few of the features as possible, is formulated as a...
Paul S. Bradley, Olvi L. Mangasarian, W. Nick Stre...
KBSE
2005
IEEE
14 years 1 months ago
Automating experimentation on distributed testbeds
Engineering distributed systems is a challenging activity. This is partly due to the intrinsic complexity of distributed systems, and partly due to the practical obstacles that de...
Yanyan Wang, Matthew J. Rutherford, Antonio Carzan...
EUROPAR
2004
Springer
14 years 28 days ago
Implementing MPI on the BlueGene/L Supercomputer
The BlueGene/L supercomputer will consist of 65,536 dual-processor compute nodes interconnected by two high-speed networks: a three-dimensional torus network and a tree topology ne...
George Almási, Charles Archer, José ...
IMC
2007
ACM
13 years 9 months ago
Acyclic type-of-relationship problems on the internet: an experimental analysis
An experimental study of the feasibility and accuracy of the acyclicity approach introduced in [14] for the inference of business relationships among autonomous systems (ASes) is ...
Benjamin Hummel, Sven Kosub