核矩阵逼近的贪心算法

来源 :模式识别与人工智能 | 被引量 : 0次 | 上传用户：duobao

【摘要】

：

在综合考虑数据之间的相关性与残差范数最小的基础上,本文分别提出向前贪心算法、向后贪心算法和混合贪心算法寻踪最佳低秩逼近.为此提出一种稀疏回归算法(SRA).SRA能有效减

【作者】

：

杜京义侯媛彬

【机构】

：

西安科技大学

【出处】

：

模式识别与人工智能

【发表日期】

：

2004年期

【关键词】

：

核算法核矩阵低秩矩阵贪心算法

【基金项目】

：

陕西省科学基金;

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论文部分内容阅读

在综合考虑数据之间的相关性与残差范数最小的基础上,本文分别提出向前贪心算法、向后贪心算法和混合贪心算法寻踪最佳低秩逼近.为此提出一种稀疏回归算法(SRA).SRA能有效减少"训练样本",并具备良好的推广能力.将SRA应用于2个实际的模式识别问题,并与支持向量机(SVM)、核主元回归(KPCR)和关键算法(KA)进行比较,验证SRA的有效性.

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核矩阵逼近的贪心算法

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