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TrueSkill: Bayesovské hodnotenie zručností pre súťažné rebríčky×Model Bradley-Terry×
OdborRozhodovanieRozhodovanie
RodinaRegression modelRegression model
Rok vzniku20071952
TvorcaRalf Herbrich, Tom Minka & Thore GraepelRalph Bradley & Milton Terry
TypProbabilistic ranking modelProbabilistic paired comparison model
Pôvodný zdrojHerbrich, R., Minka, T., & Graepel, T. (2007). TrueSkill: A Bayesian skill rating system. Advances in Neural Information Processing Systems, 19, 569–576. link ↗Bradley, R. A., & Terry, M. E. (1952). Rank analysis of incomplete block designs: I. The method of paired comparisons. Biometrika, 39(3/4), 324–345. DOI ↗
Ďalšie názvyBayesian Skill Rating, TrueSkill Ranking System, Gaussian Skill Model, Beceri Derecelendirme ModeliBT Model, Bradley-Terry-Luce Model, Paired Comparison Model, İkili Karşılaştırma Modeli
Príbuzné33
ZhrnutieTrueSkill is a Bayesian skill rating system developed by Herbrich, Minka, and Graepel at Microsoft Research and introduced at NeurIPS 2006. It represents each player's skill as a Gaussian distribution parameterized by a mean (estimated skill) and a variance (uncertainty). After each match outcome, the system updates these distributions via approximate message passing, yielding a principled ranking that handles team games, draws, and partial observations in online settings.The Bradley-Terry model is a probabilistic model for paired comparisons that assigns a latent strength parameter to each item and predicts the probability that one item beats another in a head-to-head contest. Introduced by Ralph A. Bradley and Milton E. Terry in 1952, it provides a principled statistical framework for ranking items from pairwise preference data, including incomplete comparison designs where not every pair is directly observed.
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ScholarGatePorovnať metódy: TrueSkill · Bradley-Terry Model. Získané 2026-06-18 z https://scholargate.app/sk/compare