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Improving branch-and-cut performance by random sampling.
Matteo Fischetti
Andrea Lodi
Michele Monaci
Domenico Salvagnin
Andrea Tramontani
Published in:
Math. Program. Comput. (2016)
Keyphrases
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random sampling
active learning
sampling algorithm
sample size
sampling procedure
adaptive sampling
sliding window
random samples
sampling methods
stratified sampling
random projections
reservoir sampling
query by committee
random sample
data sets
theoretical analysis
reinforcement learning