Binary matrix factorisation via column generation
Identifying discrete patterns in binary data is an important dimensionality reduction tool in machine learning and data mining. In this paper, we consider the problem of low-rank binary matrix factorisation (BMF) under Boolean arithmetic. Due to the hardness of this problem, most previous attempts r...
Päätekijät: | Kovacs, RA, Gunluk, O, Hauser, R |
---|---|
Aineistotyyppi: | Conference item |
Kieli: | English |
Julkaistu: |
Association for the Advancement of Artificial Intelligence
2021
|
Samankaltaisia teoksia
-
Binary matrix factorisation and completion via integer programming
Tekijä: Gunluk, O, et al.
Julkaistu: (2023) -
Binary matrix factorisations under Boolean arithmetic
Tekijä: Kovács, RA
Julkaistu: (2023) -
Low-rank Boolean matrix approximation by integer programming
Tekijä: Kovacs, R, et al.
Julkaistu: (2018) -
Pushing forward matrix factorisations
Tekijä: Dyckerhoff, T, et al.
Julkaistu: (2011) -
Rail transit OD‐matrix completion via manifold regularized tensor factorisation
Tekijä: Hanxuan Dong, et al.
Julkaistu: (2021-10-01)