In this paper, we study the existing audio classification methods. We design and implement a SVM-based audio classification module, and apply to many multimedia application systems.

本文对现有的音频分类技术及其应用进行充分研究，设计与实现了基于支持向量机的音频分类模块，应用于多个多媒体应用系统中。

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Objective To study the superiority and application prospect of support vector machine(SVM) on the forecast of the incidence of hemorrhagic fever with renal syndrome(HFRS).

目的探讨支持向量机（SVM）在肾综合征出血热（HFRS）发病率预测上的优势及应用前景。

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Objective To study the superiority and application prospect of support vector machine(SVM) on the forecast of the incidence of hemorrhagic fever with renal syndrome(HFRS).

目的探讨支持向量机（SVM）在肾综合征出血热（HFRS）发病率预测上的优势及应用前景。

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