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ESANN
2000
13 years 9 months ago
Distributed clustering and local regression for knowledge discovery in multiple spatial databases
Many large -scale spatial data analysis problems involve an investigation of relationships in heterogeneous databases. In such situations, instead of making predictions uniformly a...
Aleksandar Lazarevic, Dragoljub Pokrajac, Zoran Ob...
GCC
2003
Springer
14 years 29 days ago
Distributed Computation for Diffusion Problem in a P2P-Enhanced Computing System
Basic exploration of diffusion equation solvers in distributed computing systems has been a very important issue for computational fluid dynamics (CFD). This paper presents a funda...
Jun Ni, Lili Huang, Tao He, Yongxiang Zhang, Shaow...
HPDC
1993
IEEE
13 years 12 months ago
An Analysis of Distributed Computing Software and Hardware for Applications in Computational Physics
We have implemented a set of computational physics codes on a network of IBM RS/6000 workstations used as a distributed parallel computer. We compare the performance of the codes ...
Paul D. Coddington
PVM
1998
Springer
13 years 12 months ago
Distributed Computing in a Heterogeneous Computing Environment
Abstract. Distributed computing is a means to overcome the limitations of single computing systems. In this paper we describe how clusters of heterogeneous supercomputers can be us...
Edgar Gabriel, Michael M. Resch, Thomas Beisel, Ra...
NN
2006
Springer
163views Neural Networks» more  NN 2006»
13 years 7 months ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine