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Discriminative models are preferred when training data is abundant, but researches show that when the data is limited, the generative models can achieve better performance. In this paper, a novel model named Bayes perceptron is proposed to take advantage of the generative and discriminative approaches. This model divides every feature vector into several subvectors, each of which is modeled on Bayes...
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