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» Kernel methods: a survey of current techniques
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SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
11 years 7 months ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
JUCS
2010
215views more  JUCS 2010»
13 years 7 days ago
A Multidisciplinary Survey of Computational Techniques for the Modelling, Simulation and Analysis of Biochemical Networks
: All processes of life are controlled by networks of interacting biochemical components. The purpose of modelling these networks is manifold. From a theoretical point of view it a...
James Decraene, Thomas Hinze
PE
2007
Springer
137views Optimization» more  PE 2007»
13 years 5 months ago
A prediction method for job runtimes on shared processors: Survey, statistical analysis and new avenues
Grid computing is an emerging technology by which huge numbers of processors over the world create a global source of processing power. Their collaboration makes it possible to pe...
Menno Dobber, Robert D. van der Mei, Ger Koole
CIA
2006
Springer
13 years 9 months ago
Semantic Web Research Anno 2006: Main Streams, Popular Fallacies, Current Status and Future Challenges
In this topical1 paper we try to give an analysis and overview of the current state of Semantic Web research. We point to different interpretations of the Semantic Web as the reaso...
Frank van Harmelen
WCE
2007
13 years 6 months ago
A Dynamic Method for the Evaluation and Comparison of Imputation Techniques
— Imputation of missing data is important in many areas, such as reducing non-response bias in surveys and maintaining medical documentation. Estimating the uncertainty inherent ...
Norman Solomon, Giles Oatley, Kenneth McGarry