The structure of weighting factors for the discriminant dimensions suggests that although the arm movements have been sampled at only four discrete angles, the computation implemented by the projection methods takes advantage of the continuous modulation of neurons by pooling units with similar tuning properties to achieve discrimination between different types of movements.
By sweeping the applied electrode potential of potentiostatic EIS, −0.1 V to +0.1 V was determined to be the optimal range for achieving best discrimination between specific target binding and non-specific protein adsorption on aptamer-modified silicon surface.
While achieving reasonable discrimination between healthy controls and patients suffering from one specific cancer, we were unable to determine suitable representative VOCs for distinguishing all cancers.
The discrimination potential of each source of data is initially explored separately, and afterwards the individual predictions are combined to yield a consensus decision achieving complete discrimination between patients with and without a disease relapse.
Next, we employ the best performing classification schemes identified using each source of data separately, and merge the individual predictions using a weighted majority voting algorithm, achieving perfect discrimination between patients with and without disease relapse.
Only the combined flavour analysis system could achieve 100% discrimination between all the different liquids.
The AUC Score represents how close the model is to achieve 100% discrimination between presence and absence estimation.
Based on the results of "EEG features" section, a potential explanation of the relatively poor performance of the two algorithms, compared to the proposed algorithms, has to do with the fact that EEG features sets used by the two algorithms were not good enough to achieve high discrimination between seizures and non-seizures.
The results showed that the prediction method was able to achieve significant discrimination between epitope and non-epitope peptides for all MHC allotypes examined, based on AUC values in the range 0.632 0.821.
First of all, the visual feedback of the spectral power of the ongoing cerebral activity computed in various frequency bands can be used to investigate the oscillatory parameters that achieve reliable/robust discrimination between different behavioral or cognitive states (a process known as feature extraction).
