22 citations · 148 across the 31 of their papers we have counts for
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stat.ML2019★ 1 cited
Improvement of Batch Normalization in Imbalanced Data
Muneki Yasuda, Seishirou Ueno
In this study, we consider classification problems based on neural networks in data-imbalanced environment. Learning from an imbalanced data set is one of the most important and pr…
stat.ML2019★ 1 cited
Empirical Bayes Method for Boltzmann Machines
Muneki Yasuda, Tomoyuki Obuchi
In this study, we consider an empirical Bayes method for Boltzmann machines and propose an algorithm for it. The empirical Bayes method allows estimation of the values of the hyper…