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For model selection (to search for optimal Gaussian kernel parameter and generalization parameters), fivefold cross-validation on training data is used.
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The generalized-mean neuron has a simpler structure and variation in the value of generalization parameter embraces higher order structure of a neuron.
A new special map with a zooming effect of the bifurcation diagram is obtained by manipulating the generalization parameter value.
After medical consultations 3 classes were selected for representation of 5 liver fibrosis levels - see Table 2.> The number of cuts (z) and generalization parameter (d) was calibrated using training data and unified sampling.
The introduced in Eq. 4 generalization parameter (d), illustrated in Fig. 6, allows to take under consideration the values, which are laying in close proximity of a granule, but are not a part of it.
For pure solvents a simple generalization of parameters leads to accurate predictions for other solvents in the same homologous series.
However, the focus on the general population and an uncritical generalization of model parameters could potentially bias the assessment of disease spread and of available staff capacity within the healthcare sector.
In this paper, we define a new four-parameter generalization of the PC distribution named the power-Cauchy negative-binomial (PCNB) model.
In this section, we will describe the properties of a five-parameter generalization of the lambda distribution to obtain smoothed analytic representations for grouped data (Tarsitano 2005).
Nevertheless, methods relying on user-defined adaptive formulations are prone to encountering generalization issues with parameter interaction owing to the problem dependency issue.
The Poisson, geometric and Bernoulli distributions are special cases of a flexible count distribution, namely the Conway-Maxwell-Poisson (CMP) distribution – a two-parameter generalization of the Poisson distribution that can accommodate data over- or under-dispersion.
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