N03-2012 |
candidate feature set , we used an
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iterative feature selection
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algorithm that involved running
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W14-3406 |
address our task , and develop an
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iterative feature selection
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method to improve our classifier
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W00-0720 |
significantly do better than simple
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iterative feature selection
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methods , and GA weighting and
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W14-1410 |
Dale and Reiter , 1995 ) is an
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iterative feature selection
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procedure for descriptions of
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J01-1002 |
For this purpose we developed an
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iterative feature selection
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" wrapper " algorithm ( John
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P12-1002 |
to the full training set using
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iterative features selection
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. Result differences on the Europarl
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W13-2236 |
gain due to parallelization and
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iterative feature selection
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that makes the algorithm suitable
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P05-1024 |
atsch , 2001 ) shows that the
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iterative feature selection
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performed in boosting asymptotically
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W13-2236 |
also the efficiency gained by
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iterative feature selection
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, the i1/f2 regularization algorithm
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P12-1002 |
vector averaged across shards .
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Iterative feature selection
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procedure is the key to both
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