Multiagent learning can be seen as applying ML techniques to the core issues of multiagent systems, like communication, coordination, and competition. In this paper, we address the...
Many problems require repeated inference on probabilistic graphical models, with different values for evidence variables or other changes. Examples of such problems include utilit...
Data management is becoming increasingly social. We observe a new form of information in such collaborative scenarios, where users contribute and reuse information, which resides ...
Background: Many biological processes involve the physical interaction between protein domains. Understanding these functional associations requires knowledge of the molecular str...
ing the differential semantics of rule-based models: exact and automated model reduction (Invited Lecture) Vincent Danos∗§, J´erˆome Feret†, Walter Fontana‡, Russell Harme...