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- W1876575463 abstract "In this thesis we carry out a series of investigations into the relationship between diversityand combination methods and diversity and AdaBoost.In our first investigation we study the relationships between nine combination methods.Two data sets are used. We consider the overall accuracies of the combination methods,their improvement over the single best classifier, and the correlation between the ensembleoutputs using the different combination methods.Next we introduce ten diversity measures. Using the same two data sets, we studythe relationships between the diversity measures. Then we look at their relationship tothe combination methods previously studied. The ranges of the ten diversity measuresfor three classifiers are derived. They are compared with the theoretical ranges and theirimplications for the accuracy of the ensemble are studied.We then proceed to investigate the diversity of classifier ensembles built using theAdaBoost algorithm. We carry out experiments with two datasets using ten-fold crossvalidation. We build 100 classifiers each time using linear classifiers, quadratic classifiersor neural networks. We study how diversity varies as the classifier ensemble grows andhow the different types of classifier compare.Next we consider ways of improving AdaBoost's performance. We conduct an investigationinto how modifying the size of the training sets and the complexity of theindividual classifiers alter the ensemble's performance. We carry out experiments usingthree datasets.Lastly we consider using pareto optimality to determine which classifiers built by AdaBoostto add to the ensemble. We carry out experiments with ten datasets. We comparestandard AdaBoost to AdaBoost with two versions of the Pareto-optimality method calledPareto 5 and Pareto 10, to see whether we can reduce the ensemble size without harmingthe ensemble accuracy." @default.
- W1876575463 created "2016-06-24" @default.
- W1876575463 creator A5051084002 @default.
- W1876575463 date "2004-01-01" @default.
- W1876575463 modified "2023-09-23" @default.
- W1876575463 title "A study on diversity in classifier ensembles" @default.
- W1876575463 hasPublicationYear "2004" @default.
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