3507 search results - page 281 / 702 » Feature selection toolbox |
141
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ILP
2004
Springer
15 years 9 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...
136
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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...
149
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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...
131
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SAMT
2009
Springer
15 years 10 months ago
2009
Springer
This paper describes an automatic annotation, or autotagging, algorithm that attaches textual tags to 3D models based on their shape and semantic classes. The proposed method emplo...
125
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ICTAI
2007
IEEE
15 years 10 months ago
2007
IEEE
In this paper we present a method for classifying accurately SAGE (Serial Analysis of Gene Expression) data. The high dimensionality of the data, namely the large number of featur...