The experiments on real corpus show that the proposed method can more effectively and stably utilize the unlabeled examples to improve classification generalization.
通过真实语料上进行的比较实验，证明了该方法能有效利用大量未标注语料提高算法的泛化能力。
The new system is flexible and adjustable. The experimental results show that the application of this model improves the classification accuracy and generalization capability of the system.
该系统具有很好的灵活性和可调性，实验表明该模型的应用提高了系统的分类精度，增强了系统的泛化能力。
This approach greatly improves the generalization ability of SVM classification and its application area is extended.
这一方法大大提高了支持向量机分类的泛化能力，从而大大提高了支持向量机的应用范围。
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