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Passive aggressive online learning is an extension of Support Vector Machine (SVM) to the context of online learninfgor binary classification. In this paper we consider the application of the algorithm on anomaly labeling for IICNN 2001 Neural Network Competition dataset from LibSVM dataset repository’ from Ford Research Laboratory. We also work on an improved version of the online learning algorithm called Active learning and we compare both algorithms to that of SVM (from LibSVM library). We p

Author

Frederico Pecorelli

Language

EN