Sentence examples for classification of hybrid from inspiring English sources

This key-note/overview paper gives first a definition and classification of hybrid processes.

This leads to a classification of hybrid MKNF knowledge bases into a hierarchy of four classes, of which the smallest one is what works for the well-founded semantics proposed by Knorr et al. After that, we characterize three-valued MKNF models into what we call stable partitions, which are similar to partial stable models in logic programming.

Although these studies provided the first evidence for hybridization between klauberi and eschscholtzii, individuals were sampled at a relatively broad geographic scale, and analyses were limited to identification and classification of hybrid individuals.

We used three other methods to confirm our manual classification of hybrid individuals: the Bayesian clustering algorithms available in the program structure (v. 2.2) (Pritchard et al. 2000), the Bayesian algorithms available in the program NewHybrids v. 1.1 beta (Anderson and Thompson 2002), and principal coordinates analyses (PCoA).

We used this broad classification of hybrids [ 63], because it requires fewer assumptions than the other Bayesian approach, i.e., New Hybrids [ 64].

Finally, PCoA clustering was conducted based on three groups (U. rubra, U. pumila, or hybrids) predefined based on the manual classification of hybrids discussed earlier.

One hundred percent correct classification was achieved for the two parental types RR and LL, whereas correct classification of hybrids was only between 80 and 90%.

Although classification of hybrids might often be misleading, valuable inferences can be obtained by focusing directly on distributions of ancestry and heterozygosity.

Joint consideration of S and H I provides considerably more biological insight than a single ancestry index or classification of hybrids into the limited categories generated in the first two generations of admixture [ 14, 29, 32].

This chapter provides a classification of electric hybrid systems for cars and describes the conflicting design challenges involved in designing advanced vehicle propulsion systems.

Li et al. [24] presented a two-stage feature selection approach combining filter and wrapper techniques to obtain a more compact feature subset for accurate classification of the hybrid faults of a gearbox.