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These modules can be used individually or in series and the analyses can be performed in deterministic or probabilistic mode.
In this sense, it emulates COPE in its probabilistic mode.
For example, we can use a probabilistic mode of scientific publication process [13] to take into account the type and amount of experimental support behind the published statements.
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The number of free parameters of each method is given as follows: 20 · 35 for the Tucker 3-mode and probabilistic 2-mode based models, and 39 · 40 for MAPLR adaptation.
Although cis-acting regulation among local eQTLs remains to be confirmed, the co-localisation of the eQTL and the controlled gene provides a robust probabilistic way of classifying eQTLs into their mode of action.
RNA transcripts were folded with RNAshapes, using complete probabilistic folding mode, the most abstract shape level 5, and default parameters.
Figure 6 Word recognition accuracy of the probabilistic 2-mode based model, Tucker 3-mode based model, and MAPLR adaptation.
In Figure8, the p-values are given as: p<0.01 for 1 5 adaptation sentences between the probabilistic 2-mode based model and MLLR adaptation, p<0.05 for 2 5 adaptation sentences between the probabilistic 2-mode based model and MAPLR adaptation.
The advantage of probabilistic 2-mode analysis over Tucker decomposition is similar to that of PPCA over standard PCA; probabilistic 2-mode analysis can deal with missing entries in the data tensor (although this is not the case in our experiments).
Probabilistic 2-mode analysis is a probabilistic extension of multilinear analysis.
In the following section, we explain probabilistic 2-mode analysis in the context of speaker adaptation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com