Ranking individuals by group comparisons

Keywords

Ranking (information retrieval), Group (periodic table), Computer science, Artificial intelligence

References

• A family of algorithms for approximate Bayesian inferenceThomas P. Minka, Rosalind W. Picard — 2001
• Paired Comparison Models with Time-Varying ParametersMark E. Glickman — 1993
• Reducing Multiclass to Binary: A Unifying Approach for Margin ClassifiersErin L. Allwein, Robert E. Schapire, Yoram Singer — 2000
• The rating of chessplayers, past and presentArpad E. Elo — 1978
• Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood MethodsJohn Platt — 1999
• Solving Multiclass Learning Problems via Error-Correcting Output CodesTom Dietterich, Ghulum Bakiri — 1994
• A Bradley–Terry artificial neural network model for individual ratings in group competitionsJoshua Menke, Tony Martinez — 2008
• Generalized Iterative Scaling for Log-Linear ModelsJ. N. Darroch, D. Ratcliff — 1972
• RANK ANALYSIS OF INCOMPLETE BLOCK DESIGNS THE METHOD OF PAIRED COMPARISONSRalph A. Bradley, Milton E. Terry — 1952
• Classification by Pairwise CouplingTrevor Hastie, Robert Tibshirani — 1997
• Information Theory and Statistical MechanicsE. T. Jaynes — 1957
• A note on Platt’s probabilistic outputs for support vector machinesHsuan-Tien Lin, Chih‐Jen Lin, Ruby C. Weng — 2007
• On the method of paired comparisons.P. A. P. Moran — 1947
• A training algorithm for optimal margin classifiersBernhard E. Boser, Isabelle Guyon, Vladimir Vapnik — 1992
• A Maximum Entropy Approach to Natural Language ProcessingAdam Berger, Vincent J. Della Pietra, Stephen A. Della Pietra — 1996
• Generalized Bradley-Terry Models and Multi-Class Probability EstimatesTzu-Kuo Huang, Ruby C. Weng, Chih‐Jen Lin — 2006
• Reducing multiclass to binary by coupling probability estimatesBianca Zadrozny — 2001
• A Generalized Bradley-Terry Model: From Group Competition to Individual SkillTzu-Kuo Huang, Chih‐Jen Lin, Ruby C. Weng — 2004
• Sequential Conditional Generalized Iterative ScalingJoshua Goodman — 2002
• MM algorithms for generalized Bradley-Terry modelsDavid R. Hunter — 2003

Cited by

• Improving Machine Learning Through Oracle LearningJoshua Menke — 2007
• Team chemistry: the missing link in skill assessment for teamsJaideep Srivastava, Loren Terveen, Colin DeLong — 2013
• A Bayesian Look at the Rao-Kupper Model for Paired ComparisonsFarzana Noor — 2013
• Detecting abnormalities in aircraft flight data and ranking their impact on the flightEdward Smart — 2011
• Pleasing the advertising oracle: Probabilistic prediction from sampled, aggregated ground truthMelinda Han Williams, Claudia Perlich, B D'Alessandro — 2014
• Measuring individual learning performance in group work from a knowledge integration perspectiveJesualdo Tomás Fernández‐Breis, Dagoberto Castellanos–Nieves, Rafael Valencia‐García — 2009
• A Bradley–Terry artificial neural network model for individual ratings in group competitionsJoshua Menke, Tony Martinez — 2008
• Evaluating HDR photos using Web 2.0 technologyGuoping Qiu, Yujie Mei, Jiang Duan — 2011
• Social image qualityGuoping Qiu, Ahmed Kheiri — 2011
• INDIVIDUAL DIFFERENCES MULTIDIMENSIONAL BRADLEY-TERRY MODEL USING REVERSIBLE JUMP MARKOV CHAIN MONTE CARLO ALGORITHMSatoshi Usami — 2010
• TeamSkill and the NBA: Applying lessons from virtual worlds to the real-worldColin DeLong, Loren Terveen, Jaideep Srivastava — 2013
• Hierarchical Models for Estimating Individual Ratings from Group CompetitionsJoshua Menke, C. Shane Reese, Tony Martinez — 2007
• Community-Quality-Based Player Ranking in Collaborative Games with no Explicit ObjectivesLuis Quesada, Pablo J. Villacorta — 2012
• Massive Online Crowdsourced Study of Subjective and Objective Picture QualityDeepti Ghadiyaram, Alan C. Bovik — 2015
• Modeling Intransitivity in Matchup and Comparison DataShuo Chen, Thorsten Joachims — 2016
• Adversarial Top- K RankingChangho Suh, Vincent Y. F. Tan, Renbo Zhao — 2016
• Bayesian longitudinal paired comparison model and its application to sports data using weighted likelihood bootstrapSatoshi Usami — 2017
• Predicting Matchups and Preferences in ContextShuo Chen, Thorsten Joachims — 2016
• Toward a Robust Crowd-labeling Framework using Expert Evaluation and Pairwise ComparisonFaiza Khan Khattak, Ansaf Salleb-Aouissi — 2016
• Representation learning for sequence and comparison dataShuo Chen — 2016

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