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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
IT 2023-08-03
15:20
Kanagawa Shonan Institute of Technology
(Primary: On-site, Secondary: Online)
Bayesian Predictive Distribution for Poisson Observables Under a Class of Prior Distribution and $alpha$-Divergence
Shota Saito (Gunma Univ.) IT2023-19
We investigate a Bayesian predictive distribution for independent Poisson observables. The alpha-divergence is adopted a... [more] IT2023-19
pp.29-32
IT 2020-07-16
14:45
Online Online Asymptotic Evaluation of $alpha$-divergence between VB Posterior Predictive Distribution and Bayesian Predictive Distribution
Kazuki Yamada, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) IT2020-14
In this paper, we consider the problem of determining probability distribution of $X_{n+1}$ given ${X_i }_{i=1}^{n}$ fol... [more] IT2020-14
pp.19-23
IBISML 2012-03-12
11:50
Tokyo The Institute of Statistical Mathematics Hyperparameter Selection of Infinite Gaussian Mixture Model via Widely Applicable Information Criterion
Takushi Miki, Masahiro Kohjima, Sumio Watanabe (titech) IBISML2011-91
Recently, nonparametric Bayesian method is applied to wide range of research fields such as natural language processing,... [more] IBISML2011-91
pp.29-33
SP 2011-06-23
15:30
Aichi Nagoya Univ. Bayesian speech recognition based on model structure integration
Sayaka Shiota, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) SP2011-32
This paper proposes an acoustic modeling technique using multiple model structures based on a Bayesian framework for spe... [more] SP2011-32
pp.11-16
SP, NLC 2008-12-10
09:55
Tokyo Waseda Univ. Bayesian Context Clustering Using Cross Validation for HMM-Based Speech Synthesis
Kei Hashimoto, Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Institute of Technology) NLC2008-36 SP2008-91
This paper proposes a prior distribution determination technique using cross validation for HMM-based speech synthesis b... [more] NLC2008-36 SP2008-91
pp.73-78
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