Hence, introducing the "oft" package, we propose an adaptive neighbourhood point algorithm to identify the neighbouring samples for the localised analysis in order to achieve a good balance between computation
It is an indispensable step in data mining process because it can largely reduce the training time, improve the accuracy of prediction models, and avoid the overfitting problems. In this work, the recursive feature elimination with cross validation (RFECV) is used to identify which features are ...
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A company needs to identify the decision-support systems it can no longer rely on and build a data set that will aid the construction of new models for forecasting demand patterns, managing company assets, and optimizing business performance. More sophisticated...
Feature attributions based on the Shapley value are popular for explaining machine learning models. However, their estimation is complex from both theoretical and computational standpoints. We disentangle this complexity into two main factors: the approach to removing feature information and the tractable...
Aiming at obtaining comparison fairness, we rely on the aggregation of the local explanations obtained by each local post-hoc explainer into a set of global impact scores. The scores identify the set of concepts that best describe the underlying NLP model from the perspective of each LPE. The ...
The problem with GUI programming in C++ is that most libraries are too low level, putting too much of the burden on the programmer. They rely on C-like structs, or their wrapper classes don't hide enough complexity. Also, they don't make event programming simple enough...
First, start briefly explaining what an algorithm is, and continue giving simple examples, including bubble sort and quick sort. Later, wait for my prompt for additional questions. As soon as you explain and give the code samples, I want you to include corresponding visualizations as an ascii ...
injustice. If the decision-making process did not punish people who are judged negatively, then the group disparities would not lead to further harm. Because formal algorithmic fairness limits analysis to the decision-making process, it is unable to identify and account for relational and structural...
We propose an approach to identify faults hidden behind the presentation layer. The model-based approach uses an architectural abstraction called managed component Data Flow Graph (mcDFG). The mcDFG is aware of the interactions between all layers of the architecture and guides the generation of tes...