H94-1027 |
mapped to each other using an
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iterative reestimation
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algorithm . In addition to the
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C96-2151 |
resorting to a time-consuming
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iterative reestimation
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procedure . A typical example
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H92-1021 |
probabilities to exceed the cap . An
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iterative reestimation
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of the cz 's is therefore required
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C96-2151 |
that avoids held-out data and
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iterative reestimation
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is derived from first principles
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J04-3001 |
performs heuristic search through an
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iterative reestimation
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procedure to find local optima
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W96-0111 |
1992 ) , where use is made of an
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iterative reestimation
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algorithm derived from the well-known
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P99-1005 |
centroids . We then apply the
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iterative reestimation
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procedure until convergence .
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A97-1053 |
parameter a = 0.5 / 0.7 / 0.9 . In the
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iterative reestimation
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procedure , the values of the
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J00-1004 |
training corpus are refined by
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iterative reestimation
|
. 4.3 Constructing Transducers
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P99-1005 |
used in a provably convergent
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iterative reestimation
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process for p ( NIC ) , p ( VC
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A97-1053 |
independence condition of ( 8 ) .8 2 .
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Iterative Reestimation
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The subcategorization preference
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A97-1053 |
throughout the learning process . 5.2.2
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Iterative Reestimation
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of Verb-Dependent Parameters
|