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Titlebook: Machine Learning and Data Mining in Pattern Recognition; 10th International C Petra Perner Conference proceedings 2014 Springer Internation

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A Robust One-Class Classification Model with Interval-Valued Data Based on Belief Functions and Mini framework of the modified support vector machine (SVM). The algorithm for computing optimal parameters of the classification function stems from extreme points of the convex polytope produced by the interval-valued elements of a training set. It is shown that the hard non-linear optimization problem is reduced to a finite number of standard SVMs.
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Conference proceedings 2014ange from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining.
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