Exact(2)
By extending the pairwise diversity partitioning into alpha and beta components, the framework of zeta diversity, together with standing tools in community ecology, provides a more complete picture of how diversity is organised in a community.
By extending the pairwise Granger test to one involving an arbitrary number of time series, it makes sense to say that x Granger causes y, if x t − d is selected for any time lag d in the above variable selection.
Similar(58)
In this way, by extending the dipicolinic acid 2 to form 5 we have completely removed the pairwise O···H interaction and demonstrated control over the solid-state structure of the resulting material.
We then extend the pairwise approach by working with a database of features (indicated with FPdb) which collects the feature sets associated to all the previously aligned range images, so that the feature set associated to the current range image FP k is matched to the database FPdb. Figure 8 illustrates the block diagram of the multi-view alignment pipeline we propose.
To directly compare the clustering performance of all four ortholog prediction algorithms we extended the pairwise algorithms RBH and RSD into clustering algorithms cRBH and cRSD, respectively.
In addition, Zhu et al. extend the original pairwise rank loss to the pairwise cross-entropy loss and a pairwise quantization loss together [72].
Here we summarize novel approaches that extend the classical pairwise treatment of residue contacts towards adaptive knowledge-based multi-body potentials.
We also address the problem of robust estimation of the cross-correlations by extending some popular robust estimators of pairwise correlations and autocorrelations.
The second contribution of this paper is to address the problem of robust estimation of serial cross-correlations by extending several popular robust estimators of pairwise correlations and autocorrelations.
The bivariate method extends the univariate model by relating the pairwise genetic similarity matrix to a phenotypic covariance matrix between traits 1 and 2 (Lee et al. 2012).
Bivariate GCTA extends the univariate GCTA model by relating the pairwise genetic similarity matrix to a phenotypic covariance matrix between the two traits of interest, allowing for correlated residuals (Lee, Yang, et al., 2012).
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