Sentence examples for tree framework from inspiring English sources

Consequently, a methodology is developed to combine eruptive histories from multiple volcanoes into an event tree framework to inform forecasts at individual volcanoes.

We introduce an Inverse Shade Tree framework that provides a general approach to estimating the "leaves" of a user-specified shade tree from high-dimensional measured datasets of appearance.

Further, a novel substructuring scheme is introduced to implement the presented far-field potential evaluations in a binary tree framework as opposed to the existing quadtree and octree strategies of implementing fast multipole method.

This information was incorporated into a decision tree framework and a landscape features checklist that will allow landscape planners and designers to determine approaches that will minimize the risk of infection in humans.

To alleviate this deficiency, we propose the direct use of non-binary contextual factors in a soft decision tree framework [56, 57].

Several problems addressed here from a tree framework standpoint only take their constitutive taxa into account.

In the literature, the model is conceptualized as an extensively reported decision-tree framework that terminates in 11 mutually exclusive outcomes.

The cost-effectiveness assessment will use a decision-tree framework to quantitatively assess the costs and effects for the randomized groups.

We estimated divergence times under a gene-tree framework from the concatenated data matrix (i.e., ITS, nuLSU, mtSSU, MCM7, RPB1, and RPB2) and a multi-locus species tree approach.

Our divergence time estimates covered both intra- and interspecific levels; therefore, we estimated divergence times first under a gene-tree framework using the concatenated data matrix and second with a multilocus species tree approach.

However, our results indicate that datasets of ≤5 loci within any of the species-tree frameworks do not generate trees that fully correspond to the 377-locus tree for pseudoxyrhophiines (Table  1; Fig.  2).