Sentence examples for whose instance from inspiring English sources

They stopped at Washington on the way home, and there procured the arrest of the slave-trader at whose instance Solomon had been confined in the slave-pen in 1841; but without the evidence of Solomon, which was excluded because of his colour, it was impossible to secure a conviction, and the trader was discharged.

Some of the courtesans and concubines employed in the harem of the kings and chieftains were well respected, examples being Nandavva at whose instance a local chief made land grant to a Jain temple.

Whatever properties things have, they have owing to there being Forms whose instances these properties are.

The following description utilizes the particular properties of a type of graph whose instances are henceforth called ambiguity graphs.

Though not everybody agrees, linguistic types are quite naturally viewed as properties whose instances are linguistic tokens.

Consider the channel stochastic process h ( N ) whose instances are sequences h ( N ) : = { h ( t ) } t ∈ N drawn independently from the channel probability distribution m h (h).

However, to the best of our knowledge, they do not consider transferring complementary information from vector-based side views to graph database whose instances are complex structural graphs.

2. Intuitively, a monadic (or one-place) property is one whose instances can belong to only one subject at a time, whereas a polyadic (or many-place) property is one whose instances can belong to more than one subject at a time.

There are categories whose instances share nothing in common except abstract relational features whose denoting expressions occur in generalizations that are confirmable by their positive instances (the key feature of projectibility).

(Instances of a natural kind may be man-made, such as artificially synthesized ascorbic acid (vitamin C); but whether chemical kinds all of whose instances are artificial are natural kinds is open to debate.

To be more specific consider the channel stochastic process h ( N ) whose instances are sequences of channel realizations h ( N ) : = { h ( t ) } t ∈ N drawn independently from the channel probability distribution m h (h).