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Convex optimization / Submodular set function / Ellipsoid method / Linear programming / Pseudo-Boolean function / Subgradient method / Optimization problem / Convex analysis / Combinatorial optimization / Mathematical optimization / Mathematical analysis / Operations research


R Foundations and Trends in Machine Learning
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Document Date: 2013-10-07 09:14:41

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File Size: 2,05 MB

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Cardinality / Paris / /

Country

France / /

Currency

pence / /

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efficient submodular function minimization algorithm / simplex algorithm / mization algorithms / signal processing / combinatorial algorithms / electrical networks / convex optimization algorithms / versatile tool / classical iterative algorithms / iterative algorithms / greedy algorithm / efficient algorithms / rst algorithm / /

Organization

Ecole Normale Supérieure / /

Position

General / /

Technology

combinatorial algorithms / 148 9.3 Iterative algorithms / 7.10 Simplex algorithm / 6 Introduction mization algorithms / rst algorithm / Machine Learning / 10.2 Combinatorial algorithms / convex optimization algorithms / 144 9.1 Divide-and-conquer algorithm / efficient algorithms / efficient submodular function minimization algorithm / 145 9.2 Iterative algorithms / classical iterative algorithms / 3.2 Greedy algorithm / simplex algorithm / /

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