Sentence examples for comparative classifications from inspiring English sources

Exact(1)

Comparative classifications of LTR-RTEs from closely related species were performed on monocots in which transposable elements (TEs) had previously been well characterized [ 15, 16], however this is the first time this approach was employed in forest trees.

Similar(59)

For images of the same size, our feature space is demonstrably more compact and descriptive resulting in significantly fewer features needed for comparative classification accuracy and speed.

We construct a comparative classification of competing demands using these characteristics as our distinguishing features.

For HHPSO, the hierarchical population structure consisted of five layers as shown in Fig. 2. The comparative classification results of the five different algorithms are summarized in Tables 1 (Stage I) and 3 (Stage II).

In this paper, we increase conceptual clarity by identifying core features and then constructing a system for comparative classification and outline how different conceptualizations result in different understandings and design options.

We plan to extend the range of comparative classification algorithms in subsequent work to more advanced classifiers such as SVMs, tree-based methods, boosting, and relatively new ones that have been gaining recognition.

For comparative classification of the T3SS effectors, the Pseudomonas syringae Hop database http://pseudomonas-syringae.org/Hop_database.xls was blasted on protein level versus the annotation of the E. pyrifoliae DSM 12163 T genome.

In a comparative classification of alpine mosses, lichens and seed plants, strong illumination caused photodamage in dried leaves, but not in dry moss (Grimmia alpestris) and dry lichens [ 63].

Secondary outcomes : Relapse rates, quality of life, adverse events or acceptability of the technology (by patient, carer or health professional), histological confirmation via lesional biopsy, or independent imaging or comparative classification of staging and risk classification of disease and treatment alteration in the light of imaging tests performed.

Because of the advantage of compressed classification in big data based on compressive sensing comparative with classification in original data [10 15], a throat polyp detection algorithm based on compressive sensing and support vector machine is proposed in this paper.

Comparative gene family classification is useful if gene families are to be compared across species and if reference classifications exist for at least one of the species.

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