2017
DOI: 10.1007/978-3-319-68759-9_73
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Sparse Restricted Boltzmann Machine Based on Multiobjective Optimization

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Cited by 2 publications
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“…When taken together, the reconstruction error and the regularization term are in conflict. Dealing with it, previously we have proposed a sparse DBN (SDBN) based on multi-objective optimization (MOP) to avoid the problem of parameter selection [10].…”
Section: Introductionmentioning
confidence: 99%
“…When taken together, the reconstruction error and the regularization term are in conflict. Dealing with it, previously we have proposed a sparse DBN (SDBN) based on multi-objective optimization (MOP) to avoid the problem of parameter selection [10].…”
Section: Introductionmentioning
confidence: 99%