Search Results - subject:"Nonnegative matrix factorization"

On the testability of the anchor-words assumption in topic models

Freyaldenhoven, Simon; Ke, Shikun; Li, Dingyi; Olea, … - 2025

Persistent link: https://www.econbiz.de/10015407032

Robust machine learning algorithms for text analysis

Ke, Shikun; Olea, José Luis Montiel; Nesbit, James - In: Quantitative economics : QE ; journal of the … 15 (2024) 4, pp. 939-970

We study the Latent Dirichlet Allocation model, a popular Bayesian algorithm for text analysis. We show that the model's parameters are not identified, which suggests that the choice of prior matters. We characterize the range of values that the posterior mean of a given functional of the...

Persistent link: https://www.econbiz.de/10015189767

Heuristics for exact nonnegative matrix factorization

Gillis, Nicolas; Glineur, François; Tuyttens, Daniel; … - Center for Operations Research and Econometrics (CORE), … - 2015

The exact nonnegative matrix factorization (exact NMF) problem is the following: given an m-by-n nonnegative matrix X …

Persistent link: https://www.econbiz.de/10011246293

Knowledge discovery in a recommender system : the matrix factorization approach

Tripathy, Murchhana; Champati, Santilata; Bhuyan, … - In: Journal of information & knowledge management : JIKM 21 (2022) 4, pp. 1-28

Persistent link: https://www.econbiz.de/10014245431

Relational analysis model of weather conditions and sales patterns based on nonnegative tensor factorization

Okayama, Sei; Yamashita, Haruka; Mikawa, Kenta; Goto, … - In: International journal of production research 58 (2020) 8, pp. 2477-2489

Persistent link: https://www.econbiz.de/10012265244

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

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