M98-1014 conclusion about the sem value , evidence combination comes into play . We combine
W04-1603 studying the feature matrix the evidence combination strategies for stage four can
P11-1116 factor . Phase II : The nonlinear evidence combination formulas in the previous subsection
W04-1603 research we hope to extend the evidence combination algorithms to include more sophisticated
D14-1087 the viewpoint of probabilistic evidence combination . We first demonstrate that the
P11-1116 the model , we design a set of evidence combination and propagation algo - rithms
W04-1603 denominator . The information used for evidence combination was as follows . Evidence used
W04-1806 this paper . 5 Conclusion The evidence combination described above is based on transitivity
P11-1116 w.r.t. a term ) with probabilistic evidence combination . The model was studied in (
W04-0821 test data , and also to explore evidence combination from multiple language pairs
N07-3009 evidence combination ? By exploring evidence combination , this dissertation will advance
N07-3009 source , e.g. , ( Ng , 2000 ) . Can evidence combination decrease domain de - pendency
W04-1806 kind-of ` biological process ' . The evidence combination , in addition to computing transitive
C90-2071 integration have used nonprobabilistic evidence combination schemes . Schubert ( 1986 ) suggests
W04-1806 experimenting with an ad hoc weighted evidence combination scheme , based on each knowledge
N07-3009 several ways . Can we improve SDR by evidence combination ? By exploring evidence combination
H93-1031 the Dempster-Shafer Theory of Evidence Combination \ -LSB- Shafer , 1976 \ -RSB-
J88-3002 triggering of another stereotype , evidence combination rules are invoked to resolve
J07-1005 statistical methods ( classification , evidence combination , etc. ) . We have taken an important
N09-1021 unlikely to be helpful for downstream evidence combination ( where we may prefer to keep
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