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MAXSAT-PMS-2016_regression

MAXSAT-PMS-2016_regression

in_preparation ARFF Publicly available Visibility: public Uploaded 12-04-2019 by Mia Rhodes
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source: http://maxsat.ia.udl.cat/results/ authors: Rolf-David Bergdoll PAR10 performances of Eleventh Max-SAT Evaluation, category Partial Max-SAT industrial. All runtimes were taken from the competition website, using all instances and (complete) solvers from the category. The feature generation was done with the generator from ISAC+. Part of Open Algorithm Challenge 2017 ("Magnus").

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9 tasks

Clustering on MAXSAT-PMS-2016_regression
0 runs - estimation_procedure: 50 times Clustering
Clustering on MAXSAT-PMS-2016_regression
0 runs - estimation_procedure: 50 times Clustering
Clustering on MAXSAT-PMS-2016_regression
0 runs - estimation_procedure: 50 times Clustering
Clustering on MAXSAT-PMS-2016_regression
0 runs - estimation_procedure: 50 times Clustering
Clustering on MAXSAT-PMS-2016_regression
0 runs - estimation_procedure: 50 times Clustering
Clustering on MAXSAT-PMS-2016_regression
0 runs - estimation_procedure: 50 times Clustering
Clustering on MAXSAT-PMS-2016_regression
0 runs - estimation_procedure: 50 times Clustering
Clustering on MAXSAT-PMS-2016_regression
0 runs - estimation_procedure: 50 times Clustering
Clustering on MAXSAT-PMS-2016_regression
0 runs - estimation_procedure: 50 times Clustering
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