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We propose a lifelong learning method for Support Vector Machine (SVM) training called L3-SVM. It focuses on the large-scale and endless stream data which are usually the characteristics of lifelong learning. The batch SVM cannot handle large-scale data for the huge space and time requirements and also cannot learn incrementally. In order to solve these two problems, we introduce a Prototype Support...
The imbalance problem exists in P300 EEG data sets because P300 potential are collected under the condition of Oddball experimental paradigm. Hence, a P300 detection method, namely RUSBagging SVMs, is proposed in this paper to solve the imbalance problem and make an improvement. This algorithm re-samples the data sets at first to generate a rebalanced training set in one round of iteration and trains...
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