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Multiple Classifier Method for Structured Output Prediction Based on Error Correcting Output Codes

机译:基于纠错输出码的结构化输出预测的多分类器方法

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It is proposed in the paper a new method for structured output prediction using ensemble of classifiers composed on the basis of Error-Correcting Output Codes. It was presented that newly presented Multiple Classifier Method for Structured Output Prediction based on Error Correcting Output Codes requires comparable computation time in comparison to other accurate algorithms and simultaneously in the classification of more complex structures it provides much better results in the same computation time.
机译:本文提出了一种基于纠错输出码的分类器集成的结构化输出预测的新方法。结果表明,新提出的基于纠错输出码的结构化输出预测的多分类器方法与其他精确算法相比,需要可比的计算时间,同时在更复杂结构的分类中,它在相同的计算时间内提供了更好的结果。

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