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Miller, K., Jordan, M. I. & Griffiths, T. L. Nonparametric latent feature models for link prediction.
As opposed to other (network-based) models for link prediction, the proposed method is able to reconstruct the network architecture without any prior knowledge of the network topology, using only the nodes and links attributes; it thus represents a general method that can be applied to other networks such as food or value trade networks.
Supervised learning methodologies have been proposed as a better alternative to unsupervised models for link prediction [36].
To help compare our proposed scheme with conventional hard and soft link switching schemes, the signal-to-interference-plus-noise ratio (SINR), the outage probability regarding the link switching situation, and the queuing models for link switching schemes are taken into account.
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This article describes two models for linking theory and practice in nutrition education and traces how concerns about the validity of different types of research drive the choice of models.
Although several theoretical models for links and routes selection have been proposed in the literature, so far little effort has been made to apply them to the existing routing protocols.
Three data linking methods that are currently used in E&H fields are: Stochastic-mechanistic models for linking exposure and dose data, for example, the physiologically-based pharmacokinetic (PBPK) [ 57] and the biologically-based pharmacokinetic (BBPK) models [ 58].
Two other studies, in Kenya and Swaziland, evaluated models for linking and strengthening HIV screening and management and postpartum family-planning into services for postnatal clients and their newborns.
It encapsulates link level heterogeneity by defining a unified model for link technologies.
For simplicity, we present the signal model for link - only.
An analytical model for link and path duration in mobile ad-hoc networks has been proposed in [27].
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