Sentence examples for good classification of the from inspiring English sources

The results have shown a good classification of the grape varieties and the identification of the mixtures with Pinot Noir up to 75%.

This seems to imply that some common features allow for a good classification of the top level.

The important point in this observation is that a good classification of the latent process r is a sufficient but not a necessary condition for good ICA estimation.

Rapaport and co-workers found gene expression patterns of neighboring genes in the network yielding good classification of the profiled samples by calculating Fourier transformations and rejecting high frequency signals [ 18].

The parallel variation between gene persistence and their clustering tendency suggests that the persistent character of a gene allows a good classification of genes in the context of the study of chromosome organization.

The specificity for the homologous recombination effect, and the good classification of CTB and French tumours using the 118 genes regulated differently in response to H2O2 and radiation, make unlikely the confounding effect of age- or ethnicity-related factors.

The discriminant functions applied showed a globally good classification of 99.79% for the best model Class="−96.067+1.988×102X0Av+91.907BIC3+6.853CIC1 in the training set.

Leaving genetic stochasticity aside, do the other three categories provide a good classification of stochasticity, or is the classification more like that of animals in Borges' notorious Chinese encyclopedia?[26] For any classification to be a good one, it must, at the very least satisfy three criteria: (i) it must organize phenomena into a relevantly homogeneous class of categories.

Here, we carefully selected a combination of known SNP-markers to achieve two objectives: First to obtain good classification of rice cultivars into the recognised rice subpopulation, but also to have high resolution within the aus subpopulation of the indica subspecies.

The results of LDA indicated good classification of samples into normal and cancerous types when the first 6 PCs were used as the variables.

While in the prediction set, they showed an overall predictability of 88%and84%4% for active and inactive compounds, being the global percentage of good classification of 85%.