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Math and StatisticsNumerical Mathematics

Efficient Matrix Completion with Gaussian Models

Authors: Flavien Leger; Guoshen Yu; Guillermo Sapiro; MINNESOTA UNIV MINNEAPOLIS INST FOR MATHEMATICS AND ITS APPLICATIONS
Abstract:
A general framework based on Gaussian models and a MAPEM algorithm is introduced in this paper for solving matrix/ table completion problems. The numerical experiments with the standard and challenging movie ratings data show that the proposed approach, based on probably one of the simplest probabilistic models, leads to the results in the same ballpark as the state-of-the-art, at a lower computational cost.

Limitations: APPROVED FOR PUBLIC RELEASE
Pages: 6
Report Date: OCT 2010
Report Number: A037045
Keywords relating to this report:
ALGORITHMS
COMPUTATIONS
INVERSE PROBLEMS
MODELS
MOTION PICTURES
PROBABILITY
PROBLEM SOLVING
RATINGS
STATISTICAL PROCESSES
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