1 citations · 2 across the 2 of their papers we have counts for
2 papers
stat.ML2021★ 1 cited
Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm
Yasunori Akagi, Naoki Marumo, Hideaki Kim +2
The importance of aggregated count data, which is calculated from the data of multiple individuals, continues to increase. Collective Graphical Model (CGM) is a probabilistic appro…
stat.ML2015★ 1 cited
Histogram Meets Topic Model: Density Estimation by Mixture of Histograms
Hideaki Kim, Hiroshi Sawada
The histogram method is a powerful non-parametric approach for estimating the probability density function of a continuous variable. But the construction of a histogram, compared t…