Online Boosting Algorithm Based on Two-Phase SVM Training
Experimental results. (a) Linearly separable dataset, Linear Norma and Pegasos, (b) exact Bayes-separable dataset, Pegasos, and Norma using RBF kernel, (c) Bayes-separable dataset with drifting distribution parameters, Pegasos and Norma using RBF kernel, our algorithm demonstrating remarkable adaptability to changing classification targets, (d) Bayes-separable dataset with distribution parameters being switched every 1000 iterations, Pegasos and Norma using RBF kernel, (e) covertype dataset, Pegasos, and Norma using RBF kernel (do not converge), (f) covertype dataset, linear Pegasos, and Norma.
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