Sentence examples for diversity and classification from inspiring English sources
The relationship between ensemble diversity and classification performance has not yet been fully explored in the fields of information science and machine learning and has never been examined in the field of remote sensing.
Many of the activities in Biology 112, and especially the Phylogenetic Collection Lab, were designed to familiarize students with the diversity and classification of living things, the relationships among organisms, and how to diagram those relationships using phylogenetic trees.
The multiple sequence alignments were also used to construct phylogenetic trees to gain an insight to their diversity and classification.
Our aim has been to obtain a comprehensive insight into their origin, distribution, diversity, evolution and classification in Eukaryota, Bacteria and Archaea.
Here we aim to obtain a comprehensive insight into the origin, distribution, diversity, evolution and classification of the cystatin superfamily in Eukaryota, Bacteria and Archaea.
In this study, we provide a comprehensive insight into the distribution, diversity, evolution and classification of the SDR196C superfamily in bacteria.
It could be argued that the Ethnologue classification may not be the best comparison because the classification tree is highly unresolved, contains over-estimates of language diversity, and the classification often understandably lags behind linguistic research [32], [33].
A large scale analysis of diverse genomes is needed to help researchers around the world in understanding genetic diversity and functional classification of variants along with pharmacogenomic traits and associated drugs that would be use as personalized medicine.
Techniques in molecular biology have contributed to determining genetic diversity and taxonomic classification within fungal species [ 15, 16].
Our analysis provides a detailed view of the Pathan genome diversity and functional classification of variants and its impact in pharmacogenomics.
A non-significant −0.45% of the variance was explained by these linguistic groups, suggesting a lack of correlation between mtDNA genetic diversity and linguistic classification.
