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MAXSAT15-PMS-INDU_regression

MAXSAT15-PMS-INDU_regression

in_preparation ARFF Publicly available Visibility: public Uploaded 12-04-2019 by Mia Rhodes
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source: http://www.maxsat.udl.cat/15/results/index.html authors: Marius Lindauer translator in coseal format: Marius Lindauer The scenario consists of the instances and solvers from the industrial partial maxsat track of the MAXSAT Competition 2015. There is no information concerning feature time -- also no time limit on the feature generation was used. The feature generation was done with the generator from ISAC+.

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9 tasks

Clustering on MAXSAT15-PMS-INDU_regression
0 runs - estimation_procedure: 50 times Clustering
Clustering on MAXSAT15-PMS-INDU_regression
0 runs - estimation_procedure: 50 times Clustering
Clustering on MAXSAT15-PMS-INDU_regression
0 runs - estimation_procedure: 50 times Clustering
Clustering on MAXSAT15-PMS-INDU_regression
0 runs - estimation_procedure: 50 times Clustering
Clustering on MAXSAT15-PMS-INDU_regression
0 runs - estimation_procedure: 50 times Clustering
Clustering on MAXSAT15-PMS-INDU_regression
0 runs - estimation_procedure: 50 times Clustering
Clustering on MAXSAT15-PMS-INDU_regression
0 runs - estimation_procedure: 50 times Clustering
Clustering on MAXSAT15-PMS-INDU_regression
0 runs - estimation_procedure: 50 times Clustering
Clustering on MAXSAT15-PMS-INDU_regression
0 runs - estimation_procedure: 50 times Clustering
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