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This method generates several signals of featured geometry shapes as standard patterns on the basis of training data.
Table 1 summarizes the whole set of variables selected on the basis of training data only.
The ANN is trained on the basis of training data to correlate the input with the corresponding output over repeated training epochs to reduce the overall error.
The parameters α and β are estimated on the basis of training data, then a Gibbs sampling is performed to define the value of unknown variables z on the test set.
After the LR model has been built using a forward stepwise selection procedure for the choice of a subset of predictor variables x i (i = 1, 2,..., d), each continuous predictor is categorized using a locally weighted scatterplot procedure to subjectively identify cut-off points on the basis of training data.
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The classifier model generated from LMT is a single tree with different shapes on basis of various types of training data.
The kernel function namely Radial Basis Function (RBF) is used to find the best cross validation accuracy of training data with parameter, C and γ.
The resulting neutral-style model can then be used as a basis for the adaptive training of any style-specific model using only a small amount of training data from the target style.
The FNN networks are developed on the basis of the Feed-Forward Back-Propagation (FFBP) network; the advantage of using fuzzy logic here is to reduce the requirement of training data.
The selection of training data is critical.
The scores recorded in the user's profile provide the basis of the training data for the personal mixed neural networks, i.e., the long-term and short-term ANN.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com