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Support-vector-machine with Bayesian optimization for lithofacies classification using elastic properties. (arXiv:2204.00081v1 [physics.geo-ph])
cs.LG updates on arXiv.org arxiv.org
We investigate an applicability of Bayesian-optimization (BO) to optimize
hyperparameters associated with support-vector-machine (SVM) in order to
classify facies using elastic properties derived from well data in the East
Central Graben, UKCS. The cross-plot products of the field dataset appear to be
successfully classified with non-linear boundaries. Although there are a few
factors to be predetermined in the BO scheme such as an iteration number to
deal with a trade-off between the prediction accuracy and the computational
cost, this approach …
arxiv bayesian classification machine optimization physics support support-vector-machine vector