Sentence examples for relation originates from inspiring English sources

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The basic model for a site sensitive prediction of the single-tree height to diameter relation originates from a reparameterized version of the Korf function (Lappi 1991).

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From a formal standpoint some of them can be shaped as well on the basis of the beta function, if we include the following relation originating from Legendre (61).

Bradley's treatment of relations originates in Chapter II with a discussion of the problem of what makes the unity of an individual thing.

Gluckman believed that the change of social relations brought by the ritual is the core of the rite of passage, but he did not realized that the change of social relations originates from the identity change of members of society, which is clearly pointed by Van Gennep.

And because the desire to have sexual relations originates with the look that one person gives another, Islam prohibits a person from casting amorous glances towards another.

In this article we extend these results for reciprocal preference relations originating from the pairwise comparison of random vectors in a machine learning context.

The existence of EFLs in different folds and functions makes it possible to survey subtle evolutionary relations, originating from the pre-domain evolution of protein structure.

DVE unfolds the dataset by maximizing the global variance subject to the proximity relation preservation constraint originated in Laplacian eigenmaps.

The EPS special issue, Coupling of the High and Mid Latitude Ionosphere and Its Relation to Geospace Dynamics, originated from a session held during the Asia Oceania Geosciences Society (AOGS) 2014 meeting in Sapporo (Japan).

Then we can say that our understanding of T-theoretical relations and functions originates from the axioms of the scientific theory T. In standard truth-conditional semantics, by contrast, one assumes that the truth-value of an axiom φ is determined by the semantic values of those descriptive constants that have occurrences in φ.

In this paper, combining the ideas of MVU and Laplacian eigenmaps, we propose a new nonlinear dimensionality reduction method called distinguishing variance embedding (DVE), which unfolds the data manifold by maximizing the global variance subject to the proximity relation preservation constraint originated in Laplacian eigenmaps.

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