Multiple Incremental Decremental Learning of Support Vector Machines

NeurIPS 2009 Masayuki KarasuyamaIchiro Takeuchi

We propose a multiple incremental decremental algorithm of Support Vector Machine (SVM). Conventional single cremental decremental SVM can update the trained model efficiently when single data point is added to or removed from the training set... (read more)

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