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As mentioned previously, here we used a Gaussian RBF characterized by a width parameter b.
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Tuning curves were fitted with a von Mises function as suggested by Swindale (1998) as follows: where, A is the value of the function M at the preferred orientation, φ, θ is the orientation, and κ is a width parameter.
The presence of lectins required a higher degree of polydispersity as indicated by the width parameter of the log-normal distribution of size, which also suggested more irregular structures.
Channel interactions arising from the spread of the electric field from its center at the stimulation site can be set by a "width of stimulation" parameter.
This parameter is always upper bounded by Bonet and Geffner's width parameter, introduced in their state-of-the-art factored belief tracking (FBT) method.
We can therefore model P(Φ ij ) as a Laplacian distribution with width parameter ν (cf. Imoto et al., 2003): (13) The width parameter ν can scale the prior in an adjustable way.
The regularization parameter c and the kernel width parameter σ were optimized by a grid search approach.
The peak region and width parameter provide a complete description of neuron's response to different directions of motion.
In the ILRBF-BP algorithm, the width is fixed and selected by cross validation and the adjustment of width parameter will affect the location of next center, as well as the network size.
The regularization parameter C and the kernel width parameter γ were determined via an optimization procedure using a grid search approach using the fivefold cross-validation.
The width parameter is then calculated by: w = 0.85 v 1 − v 0.5 (3).
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