Generalized Matrix Factorization: efficient algorithms for fitting generalized linear latent variable models to large data arrays.
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| Title: | Generalized Matrix Factorization: efficient algorithms for fitting generalized linear latent variable models to large data arrays. |
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| Authors: | Kidziński Ł; Department of Bioengineering, Stanford University, Stanford, CA 94305, USA., Hui FKC; Research School of Finance, Actuarial Studies and Statistics, The Australian National University, Canberra, ACT 2601, Australia., Warton DI; School of Mathematics and Statistics and Evolution & Ecology Research Centre, The University of New South Wales, Sydney, NSW 2052, Australia., Hastie T; Department of Statistics and Biomedical Data Science, Stanford University Stanford, CA 94305, USA. |
| Source: | Journal of machine learning research : JMLR [J Mach Learn Res] 2022 Nov; Vol. 23. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: MIT Press Country of Publication: United States NLM ID: 101262635 Publication Model: Print Cited Medium: Print ISSN: 1532-4435 (Print) Linking ISSN: 15324435 NLM ISO Abbreviation: J Mach Learn Res Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1532-4435 |
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