Search Results - subject:"Matrix factorization"

Recommender System with Composite Social Trust Networks

Chen, Chaochao; Zheng, Xiaolin; Zhu, Mengying; Xiao, Litao - In: International Journal of Web Services Research (IJWSR) 13 (2016) 2, pp. 56-73

accuracy and slow convergence speed. In this paper, the authors propose a composite trust-based probabilistic matrix … factorization model, which is mainly composed of two steps: In step 1, the existing explicit trust network and the inferred implicit …

Persistent link: https://www.econbiz.de/10012048733

Trade the tweet : social media text mining and sparse matrix factorization for stock market prediction

Sun, Andrew; Lachanski, Michael; Fabozzi, Frank J. - In: International review of financial analysis 48 (2016), pp. 272-281

Persistent link: https://www.econbiz.de/10011624520

Rational and real positive semidefinite rank can be different

Fawzi, Hamza; Gouveia, João; Robinson, Richard Z. - In: Operations research letters 44 (2016) 1, pp. 59-60

Persistent link: https://www.econbiz.de/10011455560

A multilevel approach for nonnegative matrix factorization

GILLIS, Nicolas; GLINEUR, François - Center for Operations Research and Econometrics (CORE), … - 2010

Nonnegative Matrix Factorization (NMF) is the problem of approximating a nonnegative matrix with the product of two low …

Persistent link: https://www.econbiz.de/10008836122

Nonnegative factorization and the maximum edge biclique problem

GILLIS, Nicolas; GLINEUR, François - Center for Operations Research and Econometrics (CORE), … - 2010

Nonnegative matrix factorization (NMF) is a data analysis technique based on the approximation of a nonnegative matrix …

Persistent link: https://www.econbiz.de/10008836155

Using underapproximations for sparse nonnegative matrix factorization

GILLIS, Nicolas; GLINEUR, François - Center for Operations Research and Econometrics (CORE), … - 2009

Nonnegative Matrix Factorization (NMF) has gathered a lot of attention in the last decade and has been successfully …

Persistent link: https://www.econbiz.de/10008550194

Nested nonnegative cone analysis

Zhang, Lingsong; Lu, Shu; Marron, J.S. - In: Computational Statistics & Data Analysis 88 (2015) C, pp. 100-110

results. The nonnegative matrix factorization (NMF) approach overcomes this issue, however the NMF approximation matrices …

Persistent link: https://www.econbiz.de/10011264466

Knowledge reduction in formal contexts using non-negative matrix factorization

Ch., Aswani Kumar; Dias, Sérgio M.; Vieira, Newton J. - In: Mathematics and Computers in Simulation (MATCOM) 109 (2015) C, pp. 46-63

knowledge reduction in FCA and propose a method based on Non-Negative Matrix Factorization (NMF) for addressing the issue …

Persistent link: https://www.econbiz.de/10011117184

Archetypoids: A new approach to define representative archetypal data

Vinué, Guillermo; Epifanio, Irene; Alemany, Sandra - In: Computational Statistics & Data Analysis 87 (2015) C, pp. 102-115

The new concept archetypoids is introduced. Archetypoid analysis represents each observation in a dataset as a mixture of actual observations in the dataset, which are pure type or archetypoids. Unlike archetype analysis, archetypoids are real observations, not a mixture of observations. This is...

Persistent link: https://www.econbiz.de/10011209616

Nonnegative factorization and the maximum edge biclique problem

GILLIS, Nicolas; GLINEUR, François - Center for Operations Research and Econometrics (CORE), … - 2008

Nonnegative Matrix Factorization (NMF) is a data analysis technique which allows compression and interpretation of … Objects by Nonnegative Matrix Factorization, Nature, 1999, vol. 401, pp. 788--791), which introduced an algorithm based on …

Persistent link: https://www.econbiz.de/10005008154