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Artificial Intelligence
Scopus
ISSN 0004-3702 · Elsevier BV · 9 artikel di indeks
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Artikel Jurnal Teks lengkap
Relation between prognostics predictor evaluation metrics and local interpretability SHAP values
Maintenance decisions in domains such as aeronautics are becoming increasingly dependent on being able to predict the failure of components and systems. When data-driven techniques are used for this prognostic task, they often face headwinds due to their perceived lack of interpretability. To…
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Artikel Jurnal
Reward is enough
In this article we hypothesise that intelligence, and its associated abilities, can be understood as subserving the maximisation of reward. Accordingly, reward is enough to drive behaviour that exhibits abilities studied in natural and artificial intelligence , including knowledge, learning…
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Artikel Jurnal Teks lengkap
Knowledge graphs as tools for explainable machine learning: A survey
This paper provides an extensive overview of the use of knowledge graphs in the context of Explainable Machine Learning. As of late, explainable AI has become a very active field of research by addressing the limitations of the latest machine learning solutions that often provide highly accurate…
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Explaining individual predictions when features are dependent: More accurate approximations to Shapley values
Explaining complex or seemingly simple machine learning models is an important practical problem. We want to explain individual predictions from such models by learning simple, interpretable explanations. Shapley value is a game theoretic concept that can be used for this purpose. The Shapley value…
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Artikel Jurnal Teks lengkap
A survey of inverse reinforcement learning: Challenges, methods and progress
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Artikel Jurnal Teks lengkap
Evaluating XAI: A comparison of rule-based and example-based explanations
Current developments in Artificial Intelligence (AI) led to a resurgence of Explainable AI (XAI). New methods are being researched to obtain information from AI systems in order to generate explanations for their output. However, there is an overall lack of valid and reliable evaluations of the…