We introduce the influence diffusion model (IDM) that formalizes the process of identifying the influence of people, messages, and terms mathematically.
We introduce the influence field, which can be estimated from a network of binary sensors, as the basis for a novel classifier.
Then, by introducing the influence factors of stress gradient and microhardness gradient, a fatigue strength prediction model is proposed to correlate the fatigue strength of untreated and treated samples.
Swamidass et al. [5] introduced the Influence Relevance Voter, an interpretable method based on a supervised artificial neural network in combination with a k-nearest neighbor approach.
Since the probability matrices of the DPA introduce the influence of target pixels on adjacent pixels, these influenced pixels might accumulate higher values than unaffected pixels (background), and can be regarded as target pixels.
The estimation of the localization parameter θ can be found by calculating the partial derivative of ρ with respect to θ introducing the influence function ψ x, θ) = ∂ ρ x, θ)/ ∂ θ, ∑ i = 1 n ψ x i − θ = 0 (5).
In this context, we introduce the influence graph (Fig. 2) as a labeled multiplex graph (G=(U,E)), where U is the set of nodes represented by users, and E is the set of links that model the different relations (r in R) between nodes.
The Adaptive Poisson-Boltzmann Solver (APBS) is used as a back-end for solving the PB equation, and a Java-based graphical user interface (GUI) coordinates a set of routines that introduce the influence of the membrane, determine its placement relative to the protein, and set the membrane potential.
This introduces the possible influence of participant personality.
It is also more likely to represent an actual treatment effect, as assessing cure at a later time point introduces the confounding influences of host immune response and natural regression of the infection [19].
