We extend the Bayesian skill rating system TrueSkill to infer entire time series of skills of players by smoothing through time instead of filtering. The skill of each participat...
Pierre Dangauthier, Ralf Herbrich, Tom Minka, Thor...
This paper introduces a hierarchical Markov model that can learn and infer a user's daily movements through the commue model uses multiple levels of abstraction in order to b...
: Technologies of identification by radio frequencies (RFID) experience a fast development and healthcare is predicted to be one of its major growth areas. After briefly introducin...
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
With dwell time activation, completely hands free interaction may be achieved by tracking the user’s gaze positions. The first study presented compares typing by mouse click with...
John Paulin Hansen, Anders Sewerin Johansen, Dan W...