5802 search results - page 154 / 1161 » Parallelizing Feature Selection |
111
Voted
HPCA
2007
IEEE
16 years 2 months ago
2007
IEEE
Task-selection policies are critical to the performance of any architecture that uses speculation to extract parallel tasks from a sequential thread. This paper demonstrates that ...
118
Voted
IDA
2002
Springer
15 years 2 months ago
2002
Springer
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
138
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ICANN
2005
Springer
15 years 8 months ago
2005
Springer
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
IV
2003
IEEE
15 years 7 months ago
2003
IEEE
This paper introduces a number of refinements to the Parallel Coordinates visualisation metaphor for multidimensional data. Firstly, the traditional set of poly-lines are replaced...
141
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CCGRID
2006
IEEE
15 years 8 months ago
2006
IEEE
As the scale is expanding, node failure becomes a commonplace feature of large-scale cluster systems. As an important part of cluster operating system software, job scheduling tak...