Sentence examples for multiple exemplars of from inspiring English sources
In the last year, we have built a unique database of zebra finch vocalizations that is composed of multiple exemplars of all the vocalization types that are found in this species' vocal repertoire.
Once subjects habituated to multiple exemplars of one individual's alarm call, their response was renewed to the alarm calls of another individual but not to a new set of alarm calls from the same individual.
Previous work [ 85] has inferred several smaller trees that included multiple exemplars of some species used in this study.
This pattern of responses might reflect the extensive processing required by the presentation of multiple exemplars of human action sounds (Hirai and Hiraki, 2005; Marshall and Shipley, 2009).
The corresponding distributions for the validation set can be seen in Supplementary Fig. 12. where each gene G has multiple exemplars Gi representing diversity of that gene, I is an indicator function, and perc is a function returning the percentage of kmers present in the sample.
As image patches from multiple exemplars are used, the boundaries of facial components on the target image are inevitably inconsistent.
Adult participants were presented with multiple exemplars from novel, complex sound categories designed to reflect some of the spectral complexity and variability of speech.
We introduce intermediate textures between multiple exemplars, called 'transition textures' which enable our algorithm to produce smooth transitions between input exemplar patches.
The program's teaching procedures are based on success, successive approximations, mastery, and multiple exemplars.
"Hearing Ulysses read in all these multiple voices and multiple accents, living exemplars of the book's own multiple voices and styles, its huge variety and range of linguistic expression, should be an inspiring experience," the newspaper wrote.
To explain these results, we developed PDIST, a multiple exemplar model that assumes that people form perceived distributions by activating a set of category exemplars and then judging the relative likelihoods of different feature values on the basis of the relative activation strengths of these feature values.
