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» Feature Selection in Clustering Problems
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CEC
2005
IEEE
14 years 3 months ago
Adaptive cluster covering and evolutionary approach: comparison, differences and similarities
In case the objective function to be minimized is not known analytically and no assumption can be made about the single extremum, global optimization (GO) methods must be used. Pap...
Dimitri P. Solomatine
ICASSP
2009
IEEE
14 years 2 months ago
Improved clustered hierarchical tandem system with bottom-up processing
The outputs of multi-layer perceptron (MLP) classifiers have been successfully used in tandem systems as features for HMM-based automatic speech recognition. In a previous paper, ...
Shuo-Yiin Chang, Lin-Shan Lee
IPPS
2007
IEEE
14 years 4 months ago
Base Operating System Provisioning and Bringup for a Commercial Supercomputer
Commercial Scale-Out is a new research project at IBM Research. Its main goal is to investigate and develop technologies for the use of large scale parallelism in commercial appli...
David Daly, Jong Hyuk Choi, José E. Moreira...
MCS
2010
Springer
14 years 6 days ago
Tomographic Considerations in Ensemble Bias/Variance Decomposition
Abstract. Classifier decision fusion has been shown to act in a manner analogous to the back-projection of Radon transformations when individual classifier feature sets are non o...
David Windridge
RECOMB
2000
Springer
14 years 1 months ago
Contig selection in physical mapping
In physical mapping, one orders a set of genetic landmarks or a library of cloned fragments of DNA according to their position in the genome. Our approach to physical mapping divi...
Steffen Heber, Jens Stoye, Jörg D. Hoheisel, ...