P05-1054 terms of lexical richness using multivariate analysis techniques . The question of
D14-1172 of such possibility call for a multivariate analysis capable to model also error interactions
W04-1616 analysis . Some applications of multivariate analysis of text involve the identification
W10-0602 Planck Institute for Abstract Multivariate analysis allows decoding of single trial
J86-4006 while NJ and NE were not . The multivariate analysis of variance demonstrated the
J86-4005 while NJ and NE were not . The multivariate analysis of variance demonstrated the
W10-0602 interpretation of the models obtained using multivariate analysis . 2 Bayesian multi-task learning
W07-1312 issue in work o n exploratory multivariate analysis of language corpora . However
W04-1616 , information retrieval , and multivariate analysis . Some applications of multivariate
W12-5311 the results of univariate and multivariate analysis reported in Section 4 and then
W12-5311 inconsistent over time . Univariate and multivariate analysis techniques such as factor analysis
W10-0602 of the models obtained using a multivariate analysis can be hard due to the fact that
P13-2038 parallel corpus . They then apply multivariate analysis to acquire the translingual projec
W10-0602 obtained models . 1 Introduction Multivariate analysis allows decoding of neural representations
D15-1234 characterizing gender ladenness . We use multivariate analysis to investigate gender depictions
P11-1031 2000 ) or similar literature on multivariate analysis . In summary , given two matrices
P15-2107 sampled emails . Then we applied multivariate analysis of variance ( MANOVA ) to test
J79-1011 among the variables . The first multivariate analysis was a five-group discriminant
W06-0603 of social science research for multivariate analysis of categorical data . The model
I05-6002 determined . This was confirmed by multivariate analyses on psychological experiments
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