Exact high-dimensional asymptotics for Support Vector Machine

Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition

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Earlier work this paper cites.

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Earlier work this paper cites.

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Earlier work this paper cites.

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Earlier work this paper cites.

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