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If the input instances are not discriminative, as when the output is the result of an XOR between two latent variables, this model is able to learn the classification function while IS methods cannot.

This model is able to incorporate all the reservoir heterogeneity.

This model is able to accurately describe the reaction progress.

This model is able to estimate how, on average, family income affects BMI.

This model is able to simulate control of lighting, sun-blinds and air conditioning.

This model is able to ensure the necessary convergence between theoretical results and experimental data.

This model is able to provide some insight into the structural response during the impact.

This model is able to predict the machined profile as well as the localized corrosion range.

This model is able to rationalize the dependency of stress overshoot on relaxation time.

This model is able to encompass rational decision behaviors that the Expected Utility model cannot accommodate.

Consequently, this model is able to predict creep failure for various stress level.

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