Four SVM models with different kernel functions (linear, quadratic, cubic and gaussian) were tested separately. A twofold cross-validation was adopted to evaluate the performance of the SVM models.

Penalised likelihood was used to curve fit as cubic splines the three parameters as a function of age using ... to develop a model to estimate SE. Non-linear regression that included main effects, ...

A large team of researchers working on the Alpha Magnetic Spectrometer Collaboration, which has been analyzing eleven years' ...

Hence, researchers often simulate the brain as a network of coupled neural masses, each described by a mean-field model. These models capture the essential features of neuronal populations while ...