124 search results - page 1 / 25 » Adaptive Sparse Grid Classification Using Grid Environments |
ICCS
2007
Springer
13 years 8 months ago
2007
Springer
Common techniques tackling the task of classification in data mining employ ansatz functions associated to training data points to fit the data as well as possible. Instead, the fe...
GRID
2000
Springer
13 years 8 months ago
2000
Springer
: In this presentation, a short outline of the history of past and present Grid projects in research and industry is given, followed by some near- and long-term Grid scenarios and ...
GRID
2004
Springer
13 years 10 months ago
2004
Springer
Grid workflow can be defined as the composition of grid application services which execute on heterogeneous and distributed resources in a well-defined order to accomplish a speci...
IDA
2002
Springer
13 years 4 months ago
2002
Springer
Recently we presented a new approach [20] to the classification problem arising in data mining. It is based on the regularization network approach but in contrast to other methods...
COMPUTING
2006
13 years 4 months ago
2006
Sparse grid methods represent a powerful and efficient technique for the representation and approximation of functions and particularly the solutions of partial differential equat...