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EML4U

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Amiro Robot
© Bielefeld University

Explainable machine learning for interactive episodic updates of models.

In this BMBF project, methods in the area of explainability and transparency of machine learning are further developed. These should make it possible to answer a new and central question for episodic interactive learning: Given new data, is an update of an ML model necessary, and if so, how can the likely effects of post-training be explained?

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