The experimental activity devoted to its electrical and thermal characterization, which can be defined as mandatory in order to obtain an evaluation of the features, is presented and deeply discussed.
The voicing properties of speech are relevant for the evaluation of the features discussed in this section.
In our experiments, we conduct the evaluation of the features after applying the feature reduction process using the Lukasiewicz implication for different values of δ (varying from 0..1).
For the evaluation of the features' retrieval effectiveness, we employ four different image collections (UKBench, UCID, Holidays, ZuBuD) that vary both in theme and relevance interpretation so as to minimize the probability of good performances occurring due to collection specificities.
Evaluation of the features of RTT suggests that the basis of this disease could be an alteration of neuronal plasticity and studies of RTT mouse models support this suggestion.
From the group of barriers related to the evaluation of the features of the CDSS, particularly the subgroup functionality was considered relevant.
Barriers related to the evaluation of the features of the CDSS were measured with 11 statements (e.g. 'I believe the loading of alerts takes too long').
Within the group of barriers related to the evaluation of the features of the CDSS itself, we found that a high intensity of alerts, irrelevant alerts and a lack of flexibility and learning capacity of the CDSS were commonly reported.
We found that three groups of barriers may hinder implementation: knowledge-related barriers, barriers related to the evaluation of the features of the CDSS and external barriers interacting with the CDSS.
This includes an analysis of the benefits of the hierarchical processing, the comparison of different feature extraction methods on the first layer, the evaluation of the feature competition, and the investigation of the influence of different receptive field sizes on the second layer.
For evaluation of the feature selection methods, we generated artificial regression data according to the following procedure.
