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λi ) = +1 . An outline of an
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algorithm is given in Fig. 1
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model . However , this so-called
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n-best grafting
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may introduce overlapping features
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entropy estimation . The presented
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n-best grafting
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method does not require specialized
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100 features to be added in each
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n-best grafting
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step . Performance of these systems
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( msp +13 cms3 ) τ . For
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as proposed in this paper , the
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experimental eval - uation , we showed
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n-best grafting
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to outperform ` 0 , 1-best `
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features . E1 regularization for
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n-best grafting
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, however , even improves upon
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