Blogs on knowledge integration

- Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

Improving explainable Machine Learning through additional knowledge

Sebastian Müller,

21. July 2021

The comprehensibility of algorithmic decisions has long been relevant beyond research. We analyze how explainability methods and external knowledge can work together to adapt and improve Machine Learning to social requirements....

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Guilty or innocent: Intelligent verdict text analysis

Birgit Kirsch,

24. February 2021

Information in sentencing texts is unstructured and available in large quantities. Methods of intelligent information extraction, logical rules and expert knowledge can support their analysis and contribute to more transparent sentencing in Germany....

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BlogResearch

Informed Machine Learning – Learning from data and prior knowledge

Laura von Rueden,

17. February 2021

Informed Machine Learning makes existing sources of knowledge usable and integrates them into Machine Learning processes. This allows models to be trained based on both data and prior knowledge. Companies can thus leverage long-standing expertise effectively....