Last data update: 2014.03.03

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BioConductor
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Results 1 - 8 of 8 found.
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IBHM-package (Package: IBHM) :

Implementation of an incremental model construction method called IBHM which stands for Incrementally Built Heterogeneous Model. The method is designed for solving real-number approximation problems in a highly automated fashion and should be considered one of black-box modelling approaches such as Artificial Neural Networks or Support Vector Machines.
● Data Source: CranContrib
● Keywords: package, ~models, ~nonlinear, ~regression
● Alias: IBHM, IBHM-package
● 0 images

IterationSC (Package: IBHM) :

An iteration counting stop criterion for TrainIBHM function creating IBHM approximation models. Should be passed to ConfigureIBHMwhile creating a configuration object.
● Data Source: CranContrib
● Keywords: ~models, ~nonlinear, ~regression
● Alias: IterationSC
● 0 images

summary.IBHM (Package: IBHM) :

summary method for class "IBHM".
● Data Source: CranContrib
● Keywords: ~models, ~nonlinear, ~regression
● Alias: print.summary.IBHM, summary, summary.IBHM
● 0 images

predict.IBHM (Package: IBHM) :

Predicted values based on IBHM model object.
● Data Source: CranContrib
● Keywords: ~models, ~nonlinear, ~regression
● Alias: predict, predict.IBHM
1 images

ValidationSC (Package: IBHM) :

A validation set based stop criterion for TrainIBHM function creating IBHM approximation models. Should be passed to ConfigureIBHMwhile creating a configuration object.
● Data Source: CranContrib
● Keywords: ~models, ~nonlinear, ~regression
● Alias: ValidationSC
1 images

length.IBHM (Package: IBHM) :

Returns the number of components in a IBHM model.
● Data Source: CranContrib
● Keywords: ~models, ~nonlinear, ~regression
● Alias: length, length.IBHM
● 0 images

ConfigureIBHM (Package: IBHM) :

Creates a configuration object for TrainIBHM function which creates IBHM approximation models.
● Data Source: CranContrib
● Keywords: ~models, ~nonlinear, ~regression
● Alias: ConfigureIBHM
1 images

TrainIBHM (Package: IBHM) :

Trains an IBHM model using training data with input variables x and a single output variable y.
● Data Source: CranContrib
● Keywords: ~models, ~nonlinear, ~regression
● Alias: TrainIBHM
1 images