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...

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Dettagli Bibliografici
Autori principali: Kovacs, RA, Gunluk, O, Hauser, R
Natura: Conference item
Lingua:English
Pubblicazione: Association for the Advancement of Artificial Intelligence 2021