2010
DOI: 10.1088/1742-6596/233/1/012006
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Combining binary machines for multi-class: Statistical model and parameter estimation

Abstract: Abstract.Combining binary machines for multi-class classification problems is a popular idea, and many related methods have been proposed. When each binary machine reports a hard decision (a binary classifier), one of the most popular methods is to use the error correcting output codes (ECOC), while when each machine reports a soft decision (a binary predictor), another interesting idea is to use the Bradley-Terry (BT) model. In this paper, these methods are reviewed from a statistical viewpoint. As a result, … Show more

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Cited by 1 publication
(2 citation statements)
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“…The BT model has been widely applied in many areas, especially in sports statistics (Ikeda, 2010). The BT model is a model to quantify the strength of each player when many people play a lot of one-to-one match.…”
Section: Conventional Study Basic Explanation Of Bt Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…The BT model has been widely applied in many areas, especially in sports statistics (Ikeda, 2010). The BT model is a model to quantify the strength of each player when many people play a lot of one-to-one match.…”
Section: Conventional Study Basic Explanation Of Bt Modelmentioning
confidence: 99%
“…One of these methods by combining binary classifiers is the Error-Collecting Output Codes (ECOC) (Dietterich & Bakiri, 1995;Hastie & Tibshirani, 1998;Allwein, Schapire, & Singer, 2000). Another effective idea is to apply the Bradley-Terry (BT) model (Ikeda, 2010;Huang, Weng, & Lin, 2006). The BT model is a statistical model and has broad applications in many fields.…”
Section: Introductionmentioning
confidence: 99%