Sentence examples for and the interpretability of from inspiring English sources
The selection performance and the interpretability of the coefficients are investigated in simulation studies.
Most of these extensions represent prototypes by a list of (dis)similarities with the entire dataset and suffer from several drawbacks: their complexity is increased – it becomes quadratic instead of linear –, the stability is reduced and the interpretability of the prototypes is lost.
After that, we focus on the fuzzy morphological HMT derived from t-norms and we introduce the concept of "part of an image" which will guide the study of the desirable properties of our operator and the interpretability of the obtained results.
It is shown that this problem plays a primordial role in enhancing the performance and the interpretability of the designed FRBCSs and helps striking a better balance between the generality and the specificity of the desired fuzzy rule bases for fuzzy classification problems.
The fundamental purpose of the suggested model is to enhance the compactness and the interpretability of the system's fuzzy rules via engaging an ant colony optimization algorithm (ACO), which attempts to discover a good rule description by a set of compound rules initially represented with traditional single rules.
Forward feature selection increases the learning performance and the interpretability of the regression model as only descriptors are selected that significantly improve the SVMR model.
This helps to avoid the over-fitting problem and improves the interpretability of the model.
To describe the histopathologic changes and evaluate the interpretability of human renal tumor specimens obtained after temperature-based radiofrequency ablation (RFA).
Developing new representations to allow GP to deal with multiple objectives effectiveness and improve the interpretability of evolved scheduling heuristics.
Being a topic of future research, grouping subjects/procedures according to clinical indication will most likely reduce the heterogeneity of the data and increase the interpretability of results.
This dependency of AUPRC hinders comparisons of margins of improvement between datasets with different class distributions and reduces the interpretability of AUPRC scores.
