A Bayesian Bradley-Terry model to compare multiple ML algorithms on
multiple data sets

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A Bayesian Bradley-Terry model to compare multiple ML algorithms on multiple data sets

9 August 2022

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Papers citing "A Bayesian Bradley-Terry model to compare multiple ML algorithms on multiple data sets"

16 / 16 papers shown

Title
Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark Shenhao Wang Baichuan Mo Stephane Hess Jinhuan Zhao Jinhua Zhao 97 26 0 01 Feb 2021
How to tune the RBF SVM hyperparameters?: An empirical evaluation of 18 search algorithms Jacques Wainer Pablo Fonseca 41 37 0 26 Aug 2020
Evaluation of Text Generation: A Survey Asli Celikyilmaz Elizabeth Clark Jianfeng Gao ELM LM&MA 112 387 0 26 Jun 2020
Convergence diagnostics for Markov chain Monte Carlo Vivekananda Roy 66 219 0 26 Sep 2019
Nested cross-validation when selecting classifiers is overzealous for most practical applications Jacques Wainer G. Cawley 32 214 0 25 Sep 2018
OpenML Benchmarking Suites B. Bischl Giuseppe Casalicchio Matthias Feurer Pieter Gijsbers Frank Hutter Michel Lang R. G. Mantovani Jan N. van Rijn Joaquin Vanschoren VLM ELM 89 162 0 11 Aug 2017
PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison Randal S. Olson William La Cava Patryk Orzechowski Ryan J. Urbanowicz J. Moore 407 379 0 01 Mar 2017
Statistical comparison of classifiers through Bayesian hierarchical modelling Giorgio Corani A. Benavoli J. Demšar Francesca Mangili Marco Zaffalon 41 55 0 28 Sep 2016
Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis A. Benavoli Giorgio Corani J. Demšar Marco Zaffalon BDL 62 424 0 14 Jun 2016
Comparison of 14 different families of classification algorithms on 115 binary datasets Jacques Wainer 38 85 0 02 Jun 2016
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 809 38,961 0 09 Mar 2016
Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC Aki Vehtari Andrew Gelman Jonah Gabry 124 4,055 0 16 Jul 2015
Should we really use post-hoc tests based on mean-ranks? A. Benavoli Giorgio Corani Francesca Mangili 50 379 0 09 May 2015
Evaluation Measures for Hierarchical Classification: a unified view and novel approaches Aris Kosmopoulos Ioannis Partalas Éric Gaussier George Giannakopoulos Ion Androutsopoulos 64 189 0 28 Jun 2013
Efficient Bayesian Inference for Generalized Bradley-Terry Models François Caron Arnaud Doucet 155 141 0 08 Nov 2010
Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory Sumio Watanabe 129 2,387 0 14 Apr 2010

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