Binary matrix factorisation via column generation

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...

書誌詳細
主要な著者:	Kovacs, RA, Gunluk, O, Hauser, R
フォーマット:	Conference item
言語:	English
出版事項:	Association for the Advancement of Artificial Intelligence 2021

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