Fumiyasu Komaki

22 papers Journal 22
YearRankTypeTitle / Venue / Authors
2024 J jnl
Empirical Bayes Poisson matrix completion.
Comput. Stat. Data Anal.
Xiao Li, Takeru Matsuda, Fumiyasu Komaki
2023 J jnl
BHGNN-RT: Network embedding for directed heterogeneous graphs.
CoRR
Xiyang Sun, Fumiyasu Komaki
2023 J jnl
Enriched standard conjugate priors and the right invariant prior for Wishart distributions.
J. Multivar. Anal.
Hidemasa Oda, Fumiyasu Komaki
2022 J jnl
Oscillator decomposition of infant fNIRS data.
PLoS Comput. Biol.
Takeru Matsuda, Fumitaka Homae, Hama Watanabe, Gentaro Taga, Fumiyasu Komaki
2021 J jnl
Bayes Extended Estimators for Curved Exponential Families.
IEEE Trans. Inf. Theory
Michiko Okudo, Fumiyasu Komaki
2021 J jnl
Shrinkage Priors for Nonparametric Bayesian Prediction of Nonhomogeneous Poisson Processes.
IEEE Trans. Inf. Theory
Fumiyasu Komaki
2021 J jnl
Shrinkage Priors on Complex-Valued Circular- Symmetric Autoregressive Processes.
IEEE Trans. Inf. Theory
Hidemasa Oda, Fumiyasu Komaki
2020 J jnl
Adjacency-based regularization for partially ranked data with non-ignorable missing.
Comput. Stat. Data Anal.
Kento Nakamura, Keisuke Yano, Fumiyasu Komaki
2020 J jnl
Deconvolution of calcium imaging data using marked point processes.
PLoS Comput. Biol.
Ryohei Shibue, Fumiyasu Komaki
2019 J jnl
Empirical Bayes matrix completion.
Comput. Stat. Data Anal.
Takeru Matsuda, Fumiyasu Komaki
2018 J jnl
Analysis of Noise Contrastive Estimation from the Perspective of Asymptotic Variance.
CoRR
Masatoshi Uehara, Takeru Matsuda, Fumiyasu Komaki
2017 J jnl
A point process modeling approach for investigating the effect of online brain activity on perceptual switching.
NeuroImage
Takeru Matsuda, Keiichi Kitajo, Yoko Yamaguchi, Fumiyasu Komaki
2017 J jnl
Minimax Estimation of Quantum States Based on the Latent Information Priors.
Entropy
Takayuki Koyama, Takeru Matsuda, Fumiyasu Komaki
2017 J jnl
Multivariate Time Series Decomposition into Oscillation Components.
Neural Comput.
Takeru Matsuda, Fumiyasu Komaki
2017 J jnl
Time Series Decomposition into Oscillation Components and Phase Estimation.
Neural Comput.
Takeru Matsuda, Fumiyasu Komaki
2016 J jnl
Relations Between the Conditional Normalized Maximum Likelihood Distributions and the Latent Information Priors.
IEEE Trans. Inf. Theory
Mutsuki Kojima, Fumiyasu Komaki
2015 J jnl
Simultaneous prediction for independent Poisson processes with different durations.
J. Multivar. Anal.
Fumiyasu Komaki
2014 J jnl
Asymptotically Constant-Risk Predictive Densities When the Distributions of Data and Target Variables Are Different.
Entropy
Keisuke Yano, Fumiyasu Komaki
2013 J jnl
Bayesian Testing of a Point Null Hypothesis Based on the Latent Information Prior.
Entropy
Fumiyasu Komaki
2013 J jnl
Edge selection based on the geometry of dually flat spaces for Gaussian graphical models.
Stat. Comput.
Yoshihiro Hirose, Fumiyasu Komaki
2009 J jnl
Bayesian predictive densities based on superharmonic priors for the 2-dimensional Wishart model.
J. Multivar. Anal.
Fumiyasu Komaki
2006 J jnl
Information criteria for support vector machines.
IEEE Trans. Neural Networks
Kei Kobayashi, Fumiyasu Komaki