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Matrix theory / Operations research / Numerical linear algebra / Operator theory / Singular value decomposition / Non-negative matrix factorization / Semidefinite programming / Matrix / Trace / Algebra / Linear algebra / Mathematics


Document Date: 2005-06-08 17:43:49

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City

San Francisco / Cambridge / TORONTO / Bonn / Sheffield / /

Company

Fiat / H. & Boyd S. P. / ACM Press / Artificial Intelligence Laboratory / /

Country

Germany / United Kingdom / /

Facility

University of Toronto / Massachusetts Institute of Technology / /

IndustryTerm

objective finds solutions / local search heuristics / local search heursitic / line search / gradient-based local search / control applications / sub-optimal solution / near-identical solutions / /

Organization

University of Toronto / Toronto / Massachusetts Institute of Technology / USA Nathan Srebro Department of Computer Science / Computer Science Department / /

Person

Nathan Srebro / Jason D. M. Rennie / Morgan Kaufmann / /

Position

author / multiple multiplicative factor model for collaborative filtering / straight-forward / factor model for discrete data / /

ProvinceOrState

California / Massachusetts / /

PublishedMedium

Machine Learning / Theory of Computing / /

Technology

0025 Algorithm / Maximum Margin Matrix Factorization Algorithm / Machine Learning / two algorithms / /

URL

http /

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