TrueSkill Through Time: Revisiting the History of Chess

  title={TrueSkill Through Time: Revisiting the History of Chess},
  author={Pierre Dangauthier and Ralf Herbrich and Tom Minka and Thore Graepel},
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 participating player, say, every year is represented by a latent skill variable which is affected by the relevant game outcomes that year, and coupled with the skill variables of the previous and subsequent year. Inference in the resulting factor graph is carried out by approximate message passing (EP) along the time series of… CONTINUE READING
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