Nystrom Approximation for Sparse Kernel Methods: Theoretical Analysis and Empirical Evaluation | Zendy

Zenglin Xu | Zendy; Rong Jin | Zendy; Bin Shen | Zendy; Shenghuo Zhu | Zendy

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Nystrom Approximation for Sparse Kernel Methods: Theoretical Analysis and Empirical Evaluation

Author(s) -

Zenglin Xu,

Rong Jin,

Bin Shen,

Shenghuo Zhu

Publication year - 2015

Publication title -

proceedings of the aaai conference on artificial intelligence

Language(s) - English

Resource type - Journals

eISSN - 2374-3468

pISSN - 2159-5399

DOI - 10.1609/aaai.v29i1.9626

Subject(s) - kernel (algebra) , mathematics , kernel method , variable kernel density estimation , computation , eigenvalues and eigenvectors , kernel embedding of distributions , kernel principal component analysis , sparse matrix , nyström method , matrix (chemical analysis) , mathematical optimization , algorithm , computer science , artificial intelligence , integral equation , support vector machine , combinatorics , mathematical analysis , chemistry , computational chemistry , physics , quantum mechanics , gaussian , chromatography

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