document: Boosting SVM classifiers by ensemble By far , the support vector machines ( SVM ) achieve the state-of-the-art performance for the text classification ( TC ) tasks . Due to the complexity of the TC problems , it becomes a challenge to systematically develop classifiers with better performance . We try to attack this problem by ensemble methods , which are often used for boosting weak classifiers , such as decision tree , neural networks , etc. , and whether they are effective for strong classifiers is not clear .
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