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Learning with errors

problem in machine learning that is conjectured to be hard to solve. Introduced by Oded Regev in 2005, it is a generalization of the parity learning problem

Pronunciation
/ˈləːnɪŋ wɪð ˈɛrəz/
/ˈlərnɪŋ wɪθ ˈɛrərz/