D14-1051 method has to be evaluated with the Kullback-Liebler divergence metric for each topic space .
W13-2232 is a symmetric version of the Kullback-Liebler divergence . For the JS approximation ,
N09-1053 is to find the nearest model in Kullback-Liebler divergence that satisfies a set of linear
W03-1201 till the sum of the squares of Kullback-Liebler divergences between CPTs in successive iterations
W12-3121 combination methods . We also report the Kullback-Liebler divergence ( KL ) between the BLEU Oracle
W07-2216 are always guaranteed that the Kullback-Liebler divergence between two approximated distributions
W10-4106 language understanding , mainly using Kullback-Liebler divergence and mutual information . Pargellis
W12-0901 equation ( 5 ) is the well-known Kullback-Liebler divergence DKL ( M2 | | M1 ) of the two
W98-1122 acquisition is performed through Kullback-Liebler divergence techniques with application to
P13-1144 ◦ grid cells and assigns Kullback-Liebler divergences to each cell given a document
D13-1116 original one , by minimizing the Kullback-Liebler divergence between the two -- see for instance
W00-0707 the values which minimize the Kullback-Liebler divergence D ( pliq ) between the model
P06-1035 use two measures : the symmetric Kullback-Liebler divergence ( Jeffreys , 1946 ) and the Rao
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