A boosted SVM classifier trained by incremental learning and decremental unlearning approach

Financial time series forecasting using twin support vector regression

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Forecasting of Short-Term Metro Ridership with Support Vector Machine Online Model

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Distributed Newton Methods for Deep Neural Networks

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Ensemble-based support vector machine classifiers as an efficient tool for quality assessment of beef fillets from electronic nose data

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A comparison on multi-class classification methods based on least squares twin support vector machine

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miRBoost: boosting support vector machines for microRNA precursor classification

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A Linear-RBF Multikernel SVM to Classify Big Text Corpora

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Occlusion invariant face recognition using mean based weight matrix and support vector machine

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Distributed Object Detection With Linear SVMs

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TRAINING SUPPORT VECTOR MACHINES USING FRANK–WOLFE OPTIMIZATION METHODS

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A bagging SVM to learn from positive and unlabeled examples

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A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches

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On strategies for imbalanced text classification using SVM: A comparative study

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