dale schuurmans

algorithms & theory | artificial intelligence | bio-medical informatics | Data mining & analysis | deep learning | information extraction & visualization | natural language processing | machine learning | reinforcement learning

Dale is interested in developing systems that learn predictive models from massive sources of data, especially when the required models are complex (as in perception or language). He works on challenges involving the representation of knowledge for learning and the navigation of complex model spaces.

Dale’s research can be applied in the areas of machine perception, language interpretation, information extraction and robot learning.