5802 search results - page 154 / 1161 » Parallelizing Feature Selection |
165
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HPCA
2007
IEEE
16 years 6 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 ...
163
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IDA
2002
Springer
15 years 6 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...
188
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ICANN
2005
Springer
16 years 19 hour 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...
140
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IV
2003
IEEE
15 years 11 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...
200
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CCGRID
2006
IEEE
16 years 17 days 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...