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 ...
Our method returns an “explanation” consisting of groups of input-output tokens that are causally related. These dependencies are inferred by querying the model with perturbed inputs, generating a graph over tokens from the responses, and solving a partitioning problem to select the most relevant...
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, ...
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.
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....
This conclusion based on the following explanation. First, for the power quality. Due to the system under analysis is DC grid, the power quality degradation depends on the fluctuation of DC voltage (𝑉𝑑𝑐Vdc) when proposed IDM is applied. The DC voltage is regulated by DC/AC inverter...