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In our model of spatial distribution, trees are discrete entities represented as points distributed in a two-dimensional space following a random process, a type of graphical representation know as a spatial point pattern [38], [39], [40].
In particular, we look at the representation of asymmetric decision problems including conditional distribution trees, sequential decision diagrams, and sequential valuation networks.
A scheme using multiple distribution trees with Multiple Description Coding (MDC) is proposed as a churn coping measure in the paper [49], but this scheme can only be used for traffic types where MDC is applicable, i.e., video.
In [17 19], the authors propose a tree morphing protocol for mobile multicast sources, which reuses and modifies the existing source-based distribution trees to continuously serve for data transmission of mobile sources.
Values represent the mean ± standard deviation across 1000 posterior distribution trees.
SURFACE models were fit for PC1 and PC2 on the sample of 1000 posterior distribution trees.
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Fig. 1 DNS distribution tree.
The key idea of AQoSM is to separate the concept of groups from the concept of distribution tree by "mapping" many groups to one distribution tree.
The distribution tree is split into many stubs to limit the maximum number of hop-counts in each distribution tree; a small number of hop-counts suppresses propagation of negative effects, including disconnections and delay jitters [14].
The RP will then decapsulate and forward the packets down the RP-based distribution tree towards the receivers.
It achieves this by checking for new updates, and when it finds them, it creates a distribution tree for a set of machines, which are looking for an update.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com