Neuro-symbolic learning

Neuro-symbolic learning

Details

​​Symbolic methods and statistical connectionist methods are two main approaches to artificial intelligence. While symbolic methods are very widely used to represent knowledge in biology and biomedicine in the form of ontologies, only few methods have been developed that can utilize the information contained in these ontologies for building machine learning models. We work on methods that combine deductive inference and statistical models to improve knowledge representation and data analysis in biology.