These methods support explanation of individual predictions but can also visualize the model as a whole. We describe their working principles, how they handle computational complexity, their visualizations as well as their advantages and disadvantages. We illustrate practical issues and challenges in ...
c-Eval is the minimum-distortion perturbation that successfully alters the prediction while keeping the explanation's features unchanged. We then demonstrate how c-Eval can be computed using some modifications on existing adversarial generation libraries. To show that c-Eval captures the importance of ...
Then, the stability margins in cases of different perturbations with varied lengths and durations are calculated, and a qualitative explanation of the result is proposed. Besides, the inlet pressure and pressure drop crucially influence the convection heat transfer between strands and helium; thus, ...
We give an explanation for these observations from a graph-theoretical perspective. Methods We start with a brief description of the original TR methods DR-FFL and TRANSWESD which inspired the novel inference algorithms presented herein. Afterwards we introduce the new variants for PG generation, ...
Improving perturbation-based explanation methods with application to face recognitiondoi:10.1117/12.3030872Facial recognition systemsVisualizationArtificial intelligenceDecision makingFeature extractionNetwork architecturesVisual process modelingIn recent years, significant advancements in face recognition have been ...
A respective importance of each feature is calculated based on the differences measured for the feature. Feature importances may be used to rank features by influence and/or generate a global or local ML explainability (MLX) explanation.
A method and system for local explanation of black box model based on constrained perturbation and ensemble-based surrogate model is disclosed. The method disclosed averts data correlation problem by performing data perturbation around the local instance in accordance with distribution of test data set ...
Next, the theory of our procedure is outlined, including an explanation and illustration of our novel method of relieving zero-order degeneracy of excited Stark states. Our extensive calculations are then described, and selected results are reported and discussed. Finally, we present our conclusions....