11 citations · 11 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Filtering out mislabeled training instances using black-box optimization and quantum annealing
Makoto Otsuka, Kento Kodama, Keisuke Morita +1
This study proposes an approach for removing mislabeled instances from contaminated training datasets by combining surrogate model-based black-box optimization (BBO) with postproce…
cs.NE2015★ 11 cited
Learning dynamic Boltzmann machines with spike-timing dependent plasticity
Takayuki Osogami, Makoto Otsuka
We propose a particularly structured Boltzmann machine, which we refer to as a dynamic Boltzmann machine (DyBM), as a stochastic model of a multi-dimensional time-series. The DyBM…