5802 search results - page 407 / 1161 » Parallelizing Feature Selection |
156
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IDC
2009
Springer
15 years 2 months ago
2009
Springer
Emergence is a key element in the research of multi-agent systems. Emergent properties provide higher level features to a system formed of simpler individuals. So far, emergence ha...
124
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PLDI
2012
ACM
13 years 7 months ago
2012
ACM
Efficient communication and synchronization is crucial for finegrained parallelism. Libraries providing such features, while indispensable, are difficult to write, and often ca...
145
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ILP
2004
Springer
15 years 10 months ago
2004
Springer
Random forest induction is a bagging method that randomly samples the feature set at each node in a decision tree. In propositional learning, the method has been shown to work well...
139
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JSW
2008
15 years 4 months ago
2008
Based on the invariant features and data distribution in time domain before and after attacking on the audio, it is clearly that the standard variance shows good invariant statisti...
158
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ICASSP
2010
IEEE
14 years 11 months ago
2010
IEEE
In this paper, we present a feature-based approach for the classification of different playing techniques in bass guitar recordings. The applied audio features are chosen to captu...