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Provable learning of noisy-OR networks

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Publication:4978046
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DOI10.1145/3055399.3055482zbMath1369.68274arXiv1612.08795OpenAlexW2565444551MaRDI QIDQ4978046

Tengyu Ma, Rong Ge, Andrej Risteski

Publication date: 17 August 2017

Published in: Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1612.08795


zbMATH Keywords

unsupervised learningtensor decompositionlog-linearnoisy-orDavis-Kahan


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Multilinear algebra, tensor calculus (15A69)


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