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个人信息Personal Information
副教授
硕士生导师
性别：男
毕业院校：大连理工大学
学位：博士
所在单位：数学科学学院
学科：计算数学. 应用数学
电子邮箱：wolf_hsu@dlut.edu.cn
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Convergence Analysis of an Empirical Eigenfunction-Based Ranking Algorithm with Truncated Sparsity
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论文类型：期刊论文
发表时间：2014-01-01
发表刊物：ABSTRACT AND APPLIED ANALYSIS
收录刊物：SCIE
ISSN号：1085-3375
摘要：We study an empirical eigenfunction-based algorithm for ranking with a data dependent hypothesis space. The space is spanned by certain empirical eigenfunctions which we select by using a truncated parameter. We establish the representer theorem and convergence analysis of the algorithm. In particular, we show that under a mild condition, the algorithm produces a satisfactory convergence rate as well as sparse representations with respect to the empirical eigenfunctions.