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The core of big data models lies in the synergy of algorithm innovation, computational power support, and data governance to ...
The Kappa Regression algorithm has been shown to provide great performance results, but hyper-parameter tuning can, at times, be computationally intensive. The algorithm in-cludes a single parameter ...
In this research, we propose a novel approach, Adaptive Feature Weight Genetic Explanation (AFWGE), for generating counterfactual explanations of AI models, where a custom genetic algorithm (GA) is ...
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