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Classification; Quantile-based classifier; Ensemble learning; Factorization machines; Deep neural network
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Extensions Of Classification Method Based On Quantiles, Yuanhao Lai
Extensions Of Classification Method Based On Quantiles, Yuanhao Lai
Electronic Thesis and Dissertation Repository
This thesis deals with the problem of classification in general, with a particular focus on heavy-tailed or skewed data. The classification problem is first formalized by statistical learning theory and several important classification methods are reviewed, where the distance-based classifiers, including the median-based classifier and the quantile-based classifier (QC), are especially useful for the heavy-tailed or skewed inputs. However, QC is limited by its model capacity and the issue of high-dimensional accumulated errors. Our objective of this study is to investigate more general methods while retaining the merits of QC.
We present four extensions of QC, which appear in chronological …