1405 search results - page 29 / 281 » Anytime Algorithm for Feature Selection |
118
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IPMI
2003
Springer
16 years 2 months ago
2003
Springer
Abstract. In this paper, feature selection methodology from the machine learning literature is applied to the problem of shape-based classification. This methodology discards stati...
114
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SETN
2010
Springer
15 years 8 months ago
2010
Springer
In the present work we address the problem of phone duration modeling for the needs of emotional speech synthesis. Specifically, relying on ten well known machine learning techniqu...
108
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JMLR
2010
14 years 8 months ago
2010
L1 (also referred to as the 1-norm or Lasso) penalty based formulations have been shown to be effective in problem domains when noisy features are present. However, the L1 penalty...
128
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KBS
2008
15 years 7 days ago
2008
Feature subset selection presents a common challenge for the applications where data with tens or hundreds of features are available. Existing feature selection algorithms are mai...
118
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ICPR
2006
IEEE
16 years 2 months ago
2006
IEEE
Band ratios have many useful applications in hyperspectral image analysis. While optimal ratios have been chosen empirically in previous research, we propose a principled algorith...