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The proposed method demonstrates two major improvements.
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The comparison of VIA with the standard visual grading methods demonstrated two major points of interest.
The proposed method demonstrates by two real world credit data sets that the hybrid mining approach can be used to build effective credit scoring models.
We demonstrate two methods to overcome these problems in Monte Carlo and molecular dynamics simulations.
To do this we created data matrices of gene-gene correlations and demonstrate two methods to simply mine the matrix of correlation coefficients.
Moreover, we demonstrate two methods to generate HLA-B27-restricted T cell lines.
We have demonstrated two methods for estimating this genetic × treatment vector: difference of models and multiple-impute matched pairs.
We review existing methods for analysing inter-rater agreement for multiple raters and demonstrate two further methods.
We demonstrate two different methods for protein insertion into the lipid bilayer.
The stability analysis of both methods demonstrates why these two methods are so powerful individually and how their fusion leads to an improved scheme.
One method demonstrated by Marcel Veerman and co-workers at the University of California, Los Angeles, increased the efficiency of chemical reactions of solid materials by using nanocrystals of the material.
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