1860 search results - page 283 / 372 » Boosting Methods for Regression |
124
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JMLR
2010
14 years 10 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...
102
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ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
In this paper we present a novel approach to acoustic model training for non-audible murmur (NAM) recognition using normal speech data transformed into NAM data. NAM is extremely ...
165
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JMLR
2012
13 years 5 months ago
2012
We study a generalized framework for structured sparsity. It extends the well known methods of Lasso and Group Lasso by incorporating additional constraints on the variables as pa...
140
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CVPR
2007
IEEE
16 years 5 months ago
2007
IEEE
The existing methods for offline training of cascade classifiers take a greedy search to optimize individual classifiers in the cascade, leading inefficient overall performance. W...
125
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CVPR
2007
IEEE
16 years 5 months ago
2007
IEEE
We boost the efficiency and robustness of distributionbased matching by random subsampling which results in the minimum number of samples required to achieve a specified probabili...