Learning with Matrix Factorizations
Matrices that can be factored into a product of two simpler matricescan serve as a useful and often natural model in the analysis oftabulated or high-dimensional data. Models based on matrixfactorization (Factor Analysis, PCA) have been extensively used instatistical analysis and machine learning f...
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| Language: | en_US |
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2005
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| Online Access: | http://hdl.handle.net/1721.1/30507 |