We develop new methods for machine learning, computational inference, and probabilistic modeling. Our current research focus is on learning from multiple data sources, including multi-view learning, multi-task learning, and multi-way learning. Furthermore, we work on information visualization and retrieval. Our primary application areas are computational systems biology and medicine, proactive information retrieval and multimodal interfaces, as well as brain signal analysis and neuroinformatics.

Contact person: Professor Samuel Kaski
Home page: [http://www.cis.hut.fi/projects/mi/|http://www.cis.hut.fi/projects/mi/]