C02-2003 collocations by performing the likelihood ratio tests iteratively . The algorithm for
J93-1003 table methods work well , the likelihood ratio tests described here are nearly identical
D14-1130 significance was computed with a likelihood ratio test : • • • p <
J93-1003 respectively . More information about likelihood ratio tests can be found in texts on theoretical
D15-1305 from zero . Moreover , The Log Likelihood Ratio Test implemented in the mixed coordinates
N03-1032 mates . 2.1.3 Likelihood ratio The likelihood ratio test provides an alternative to check
C02-1040 of hypothesis testing using the likelihood ratio test . For fur3There is some controversy
J93-1003 more applicable methods based on likelihood ratio tests are available that yield good
N10-1003 a merging step , which uses a likelihood ratio test to reverse the least useful half
D10-1111 acceptance ratio is equivalent to a likelihood ratio test . We compute the marginal probability
E97-1006 document as that of conducting the likelihood ratio test over finite mixture models .
D10-1101 statistical analysis based on the Likelihood Ratio Test for opinion target extraction
J93-1003 be seen , the ranking based on likelihood ratio tests does exactly this . Similar comparisons
C02-1040 these methods we selected the likelihood ratio test because it performed with higher
C02-1040 1977 ; Dunning , 1993 ) . 3.1 Likelihood ratio test Let us take the hypothesis that
D10-1101 opinion target extraction . The Likelihood Ratio Test yields a precision of 0.97 and
P09-2067 theorem , this can be rewritten as a likelihood ratio test , for which the decision threshold
D09-1034 components we compared , using a likelihood ratio test , a model where lexical and syntactic
H93-1083 clustering criterion based on a likelihood ratio test ; obtained a slight improvement
C94-1084 signilicant seem to be tit ( ' . likelihood ratio test , and the number of occurfences
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