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Subset selection with shrinkage : sparse linear modeling when the SNR is low

Mazumder, Rahul; Radchenko, Peter; Dedieu, Antoine - In: Operations research 71 (2023) 1, pp. 129-147

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Dynamic optimization with side information

Bertsimas, Dimitris; McCord, Christopher; Sturt, Bradley - In: European journal of operational research : EJOR 304 (2023) 2, pp. 634-651

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On multivariate randomized classification trees l0- based sparsity, VC dimension and decomposition methods

Amaldi, Edoardo; Consolo, Antonio; Manno, Andrea - In: Computers & operations research : and their … 151 (2023), pp. 1-21

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Human-centric parcel delivery at deutsche post with operations research and machine learning

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Adaptive solution prediction for combinatorial optimization

Shen, Yunzhuang; Sun, Yuan; Li, Xiaodong; Eberhard, Andrew - In: European journal of operational research : EJOR 309 (2023) 3, pp. 1392-1408

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Optimization of system dynamics models : a novel methodology

Angün, Mevlüde Ebru; Kleijnen, Jack P. C.; Smits, Martin - 2023

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Learning-assisted optimization for transmission switching

Pineda, Salvador; Morales, Juan M.; Jiménez-Cordero, … - In: Top : an official journal of the Spanish Society of … 32 (2024) 3, pp. 489-516

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A cooperative coevolutionary genetic programming hyper-heuristic for multi-objective makespan and cost optimization in cloud workflow scheduling

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Linear algebra for data science, machine learning, and signal processing

Fessler, Jeffrey A.; Nadakuditi, Raj Rao - 2024

Maximise student engagement and understanding of matrix methods in data-driven applications with this modern teaching package. Students are introduced to matrices in two preliminary chapters, before progressing to advanced topics such as the nuclear norm, proximal operators and convex...

Persistent link: https://www.econbiz.de/10015160667