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• W2947230780 abstract "Probabilistic approach to Boolean matrix factorization can provide solutions robustagainst noise and missing values with linear computational complexity. However,the assumption about latent factors can be problematic in real world applications.This study proposed a new probabilistic algorithm free of assumptions of latentfactors, while retaining the advantages of previous algorithms. Real data experimentshowed that our algorithm was favourably compared with current state-of-the-artprobabilistic algorithms." @default.
• W2947230780 created "2019-06-07" @default.
• W2947230780 creator A5011246709 @default.
• W2947230780 creator A5069366371 @default.
• W2947230780 date "2019-05-29" @default.
• W2947230780 modified "2023-09-27" @default.
• W2947230780 title "Noisy and Incomplete Boolean Matrix Factorizationvia Expectation Maximization." @default.
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• W2947230780 hasPublicationYear "2019" @default.
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