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1 to 7 of 7 Results
Jan 3, 2023 - Optlab
Barbato, Michele; Ceselli, Alberto, 2022, "Technical Report of "Mathematical Programming for Simultaneous Feature Selection and Outlier Detection under l1 Norm"", https://doi.org/10.13130/RD_UNIMI/UA8PFI, UNIMI Dataverse, V3
Technical Report of "Mathematical Programming for Simultaneous Feature Selection and Outlier Detection under l1 Norm". Broad experimental campaign. Due to a new implementation, the reported results are outdated. The new results can be found on: https://doi.org/10.13130/RD_UNIMI/L...
Dec 27, 2022 - Optlab
PREMOLI, MARCO LUIGI; Alberto Ceselli, 2022, "Replication Data for: On good encodings for quantum annealing and digital optimization solvers: the cardinality constrained quadratic knapsack case", https://doi.org/10.13130/RD_UNIMI/Y3GKUF, UNIMI Dataverse, V1
Replication Data for "On good encodings for quantum annealing and digital optimization solvers: the cardinality constrained quadratic knapsack case". Please refer to file "readme.pdf" for further information about the dataset.
Oct 26, 2022 - Optlab
Barbato, Michele; Ceselli, Alberto, 2022, "Replication Data for: "Mathematical Programming for Simultaneous Feature Selection and Outlier Detection under l1 Norm"", https://doi.org/10.13130/RD_UNIMI/1MZNNS, UNIMI Dataverse, V1, UNF:6:PWiIzt/vPLfrW/Rq52qghw== [fileUNF]
Training and test instances used in the work "Mathematical Programming for Simultaneous Feature Selection and Outlier Detection under l1 Norm". Several new instances are available at the related datatset available here: https://doi.org/10.13130/RD_UNIMI/LZA4F8
Oct 12, 2022 - Optlab
Ceselli, Alberto; Basso, Saverio, 2022, "Replication data for 'A data driven Dantzig–Wolfe decomposition framework'", https://doi.org/10.13130/RD_UNIMI/T99WYI, UNIMI Dataverse, V1
The dataset contains a set of about 31000 random decompositions of MIPLib instances, together with (a) an evaluation of a set of 121 features over them (b) bound and time scores, obtained through optimization runs. Their detailed structure is described in the paper: S. Basso, A....
Jul 18, 2022 - Aladdin
Bellettini, Carlo; Lonati, Violetta; Monga, Mattia; Morpurgo, Anna, 2022, "Replication Data for: How is two better than one? An observational study on the impact of working in pairs when solving Bebras tasks", https://doi.org/10.13130/RD_UNIMI/WT9NHU, UNIMI Dataverse, V1, UNF:6:DgRU9vAg3nnxxYil+n5P7A== [fileUNF]
Answers given to the Italian Bebras tasks, collected during the challenge held on November 2021.
Apr 15, 2022 - Optlab
PREMOLI, MARCO LUIGI; Alberto Ceselli; Marco Fiore; Stefano Secci, 2022, "Replication Data for: Optimized Assignment Patterns in Mobile Edge Cloud Networks", https://doi.org/10.13130/RD_UNIMI/X3VG12, UNIMI Dataverse, V1
Replication data for "Optimized assignment patterns in Mobile Edge Cloud networks." Computers & Operations Research 106 (2019): 246-259. The full description of the dataset is given in the README file.
Jan 11, 2022 - Optlab
Ceselli, Alberto; Casazza, Marco, 2022, "Replication data for "Exact Algorithms for Maximum Lifetime Data-Gathering Tree in Wireless Sensor Networks"", https://doi.org/10.13130/RD_UNIMI/VHW2QV, UNIMI Dataverse, V1, UNF:6:U/L+h6e36wYpccCRTD5/Rg== [fileUNF]
Dataset of instances used in the paper "Exact algorithms for Maximum Lifetime Data Gathering Tree in Wireless Sensors Networks". The repository contains two folders (CCD and ZTD) corresponding to the instances used in the paper. Their full description is given in two README files...
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