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Hyunjung Shin and Sungzoon Cho (2003)

Fast Pattern Selection Algorithm for Support Vector Classifiers: Time Complexity Analysis

Lecture Notes in Computer Science, 2690:1008-1015.

Training SVM requires large memory and long cpu time when the pattern set is large. To alleviate the computational burden in SVM training, we propose a fast preprocessing algorithm which selects only the patterns near the decision boundary. The time complexity of the proposed algorithm is much smaller than that of the naive M^2 algorithm