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Differed from the bounding hypersphere assumption in Support Vector Machine (SVM), Ellipsoidal Kernel Machine (EKM) adopts the compacter bounding ellipsoid assumption, and finds the separating plane inside the ellipsoid. It reduces the VC dimension in essence. However, EKM only applies in binary classification and does not work in outlier detection where generally only one class of samples existed...
Recently, automatic document classification has attracted a lot of attentions due to the large quantity of web documents. Amongst, a special case is to distinguish whether a document belongs to a target class (directory) when only the documents of target class are given, which is a standard oneclass classification problem. Moreover, differed from other data, Web pages have intrinsic (text) and extrinsic(hyperlink)...
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