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12 Oct 2000: While MMIE is very effective at reducing training set error a key issue is generalisation to test data. ... It was found that two iterations of MMIE re-estimation gave the best test-set performance [19].

10 Oct 2000: ef.ps.gz This is the effective area. Postscript files with the Capella "calibrated" and averaged spectra, with test CHIANTI v.3 synthetic spectra.. ... Postscript files with the Capella "calibrated" and averaged spectra, with test CHIANTI v.3 synthetic

6 Oct 2000: In 1996 after a period of test observations in San Fernando was moved to Argentina, to the Carlos U.

6 Oct 2000: M. BROOM, CTHAnthropological Science  A. D. J. MACFARLANE, KApplied Economics  D. ... W. KÖRNER, THAnalytical Sciences  E. A. H. HALL, QApplied Economics  S.

6 Oct 2000: AHA Architecture and Historyof Art. Biol BiologyCl ClassicsDiv DivinityEduc EducationEngg EngineeringEngl EnglishEP Economics and Politics. ... Economic History. Prof. P. Thane, , Prof. P. S. Dasgupta, JN, .Prof.

5 Oct 2000: An important issue in MMIE training is the ability to generalise to unseen test data. ... Tests were performed on both the eval97sub and the 1998 evaluation set (eval98).

5 Oct 2000: All experiments were performed on the test sets used in the September 1998 and March 2000 Hub5 evaluations (eval98 and eval00, respectively).. ... It can be seen that for the eval00 test set the unmapped posteriors perform much better than for the eval98

5 Oct 2000: While MMIE is very effective at reducing training set error a keyissue is generalisation to test data. ... On other test setsimprovements greater than 1% absolute have also been obtained and.

5 Oct 2000: 4 IMPROVING MMIE GENERALISATION. An important issue in MMIE training is the ability to generalise tounseen test data. ... The results of these experiments on both theeval97sub and eval98 test sets are shown in Table 4.

5 Oct 2000: It canbe seen that for the eval00 test set the unmapped posteriors performmuch better than for the eval98 set. ... Table 4: System Combination Results. The improvement over the single best system achieved byROVER are rather disappointing especially on