3467 search results - page 290 / 694 » Streamwise Feature Selection |
142
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RSFDGRC
2005
Springer
15 years 10 months ago
2005
Springer
Abstract. Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine...
180
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CEAS
2007
Springer
15 years 9 months ago
2007
Springer
Recently, spammers have proliferated "image spam", emails which contain the text of the spam message in a human readable image instead of the message body, making detect...
151
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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...
144
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JSW
2008
15 years 5 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...
160
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ICASSP
2010
IEEE
14 years 12 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...