Pseudo-Boolean function

Results: 9



#Item
1Quadratic reformulations of nonlinear binary optimization problems Martin Anthony∗, Endre Boros†, Yves Crama‡, Aritanan Gruber§ Abstract Very large nonlinear unconstrained binary optimization problems

Quadratic reformulations of nonlinear binary optimization problems Martin Anthony∗, Endre Boros†, Yves Crama‡, Aritanan Gruber§ Abstract Very large nonlinear unconstrained binary optimization problems

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Source URL: www.maths.lse.ac.uk

Language: English - Date: 2016-04-17 06:48:10
2Quadratization of Symmetric Pseudo-Boolean Functions Martin Anthonya , Endre Borosb , Yves Cramac , Aritanan Gruberd,∗ a Department of Mathematics, London School of Economics and Political Science, UK.

Quadratization of Symmetric Pseudo-Boolean Functions Martin Anthonya , Endre Borosb , Yves Cramac , Aritanan Gruberd,∗ a Department of Mathematics, London School of Economics and Political Science, UK.

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Source URL: www.maths.lse.ac.uk

Language: English - Date: 2015-12-10 05:21:39
31  An Efficient Optimization Framework for Multi-Region Segmentation based on Lagrangian Duality Johannes Ul´en, Petter Strandmark and Fredrik Kahl

1 An Efficient Optimization Framework for Multi-Region Segmentation based on Lagrangian Duality Johannes Ul´en, Petter Strandmark and Fredrik Kahl

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Source URL: www.medtechwest.se

Language: English - Date: 2013-10-29 04:26:53
4Single- and Multi-Objective Genetic Programming: New Bounds for Weighted ORDER and MAJORITY Anh Nguyen Tommaso Urli

Single- and Multi-Objective Genetic Programming: New Bounds for Weighted ORDER and MAJORITY Anh Nguyen Tommaso Urli

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Source URL: www.tunnuz.net

Language: English - Date: 2014-09-12 00:58:22
5Single- and Multi-Objective Genetic Programming: New Bounds for Weighted ORDER and MAJORITY Anh Nguyen Tommaso Urli

Single- and Multi-Objective Genetic Programming: New Bounds for Weighted ORDER and MAJORITY Anh Nguyen Tommaso Urli

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Source URL: tunnuz.net

Language: English - Date: 2014-09-12 00:58:22
6Submodular Function Maximization Andreas Krause (ETH Zurich) Daniel Golovin (Google) Submodularity1 is a property of set functions with deep theoretical consequences and far– reaching applications. At first glance it a

Submodular Function Maximization Andreas Krause (ETH Zurich) Daniel Golovin (Google) Submodularity1 is a property of set functions with deep theoretical consequences and far– reaching applications. At first glance it a

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Source URL: las.ethz.ch

Language: English - Date: 2012-08-03 11:50:04
7Computer Science Technical Report Computing the moments of k-bounded pseudo-Boolean functions over Hamming spheres of arbitrary radius in polynomial time Andrew M. Sutton, L. Darrell Whitley, Adele E. Howe

Computer Science Technical Report Computing the moments of k-bounded pseudo-Boolean functions over Hamming spheres of arbitrary radius in polynomial time Andrew M. Sutton, L. Darrell Whitley, Adele E. Howe

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Source URL: www.cs.colostate.edu

Language: English - Date: 2010-06-24 19:04:53
8c Pleiades Publishing, Ltd., 2011. ISSN[removed], Journal of Applied and Industrial Mathematics, 2011, Vol. 5, No. 2, pp. 180–190.  c V.L. Beresnev, A.A. Mel’nikov, 2010, published in Diskretnyi Analiz i Issledovan

c Pleiades Publishing, Ltd., 2011. ISSN[removed], Journal of Applied and Industrial Mathematics, 2011, Vol. 5, No. 2, pp. 180–190.  c V.L. Beresnev, A.A. Mel’nikov, 2010, published in Diskretnyi Analiz i Issledovan

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Source URL: www.math.nsc.ru

Language: English - Date: 2011-07-08 06:11:27
9R Foundations and Trends
 in Machine Learning

R Foundations and Trends in Machine Learning

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Source URL: www.di.ens.fr

Language: English - Date: 2013-10-07 09:14:41