11 citations · 19 across the 8 of their papers we have counts for
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cs.IT2019
Evaluation of Error Probability of Classification Based on the Analysis of the Bayes Code: Extension and Example
Shota Saito, Toshiyasu Matsushima
Suppose that we have two training sequences generated by parametrized distributions and , where and are unknown true parameters. Given training seque…
cs.IT2019
Covariance Evolution for Spatially "Mt. Fuji" Coupled LDPC Codes
Yuta Nakahara, Toshiyasu Matsushima
A spatially "Mt. Fuji" coupled low-density parity check (LDPC) ensemble is a modified version of the original spatially coupled (SC) LDPC ensemble. Its desirable properties are fir…
cs.IT2019★ 8 cited
Distributed Stochastic Gradient Descent Using LDGM Codes
Shunsuke Horii, Takahiro Yoshida, Manabu Kobayashi +1
We consider a distributed learning problem in which the computation is carried out on a system consisting of a master node and multiple worker nodes. In such systems, the existence…