| Document Date: 2007-01-13 00:42:38
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Company MIT Press / / Country United States / / / Facility University of Maryland / College Park / / IndustryTerm matrix-vector products / matrix-vector product algorithms / approximate matrix-vector product / matrix-vector product / ²-exact matrix-vector product algorithms / approximate solutions / process regression using approximate matrix-vector products / scientific computing / learning algorithms / / Organization Vikas C. Raykar and Ramani Duraiswami Department of Computer Science / University of Maryland / College Park / MIT / Univ. of Maryland / / Person C. E. Rasmussen / Candela Rasmussen / / Position representative / / ProvinceOrState Maryland / / PublishedMedium Machine Learning / / Technology Data Mining / Machine Learning / matrix-vector product algorithms / / URL www.umiacs.umd.edu/~vikas / /
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Fast large scale Gaussian process regression using approximate matrix-vector products Vikas C. Raykar and Ramani Duraiswami Department of Computer Science and Institute for advanced computer studies University of Marylan