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Titlebook: Machine Learning and Data Mining in Pattern Recognition; Third International Petra Perner,Azriel Rosenfeld Conference proceedings 2003 Spr

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978-3-540-40504-7Springer-Verlag Berlin Heidelberg 2003
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A ROC-Based Reject Rule for Support Vector Machines basis of classification and error costs peculiar for the application at hand. Experiments performed with different kernels on several data sets publicly available confirmed the effectiveness of the proposed reject rule.
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Simple Mimetic Classifiersfollowing advantages: it is almost similar to the highly accurate combined model, as a single solution it requires much fewer memory resources, no additional validation test must be reserved to do this procedure and, more importantly, the resulting model is expressed as a single classifier in terms
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Conference proceedings 2003port vector machines; pattern dis- very; decision trees; clustering; classi?cation and retrieval; case-based reasoning; Bayesian models and methods; association rules; and applications. We would like to express our appreciation to the reviewers for their precise andhighlyprofessionalwork.Wearegratef
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0302-9743 methods; association rules; and applications. We would like to express our appreciation to the reviewers for their precise andhighlyprofessionalwork.Wearegratef978-3-540-40504-7978-3-540-45065-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
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