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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 6 of 6  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
IT 2021-07-09
13:25		 Online Online A Note on the Reduction of Computational Complexity for Linear Regression Model Including Cluster Explanatory Variables and Regression Explanatory Variables -- Bayes Optimal Prediction and Sub-Optimal Algorithm --
Sho Kayama (Waseda Univ.), Shota Saito (Gunma Univ.), Toshiyasu Matsushima (Waseda Univ.) IT2021-24		 By considering the probability model with the structure that the data is divided into clusters and each cluster has an i... [more] IT2021-24
pp.51-56
SIP, EA, SP, MI
(Joint) [detail]		 2018-03-19
10:50		 Okinawa   On the Use of Deep Gaussian Processes for GPR-based Speech Synthesis
Tomoki Koriyama, Takao Kobayashi (Tokyo Inst. of Tech.) EA2017-106 SIP2017-115 SP2017-89		 This paper proposes a speech synthesis framework
based on deep Gaussian processes (DGPs).
DGP is a Bayesian deep learn... [more]		 EA2017-106 SIP2017-115 SP2017-89
pp.27-32
SP, ASJ-H 2018-01-20
13:25		 Tokyo The University of Tokyo A study on statistical speech synthesis based on GP-DNN hybrid model
Tomoki Koriyama, Takao Kobayashi (Tokyo Tech) SP2017-67		 We propose a novel approach to Gaussian process regression (GPR)-based speech synthesis
in this paper.
Since the conve... [more]		 SP2017-67
pp.5-10
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] 2017-06-25
09:55		 Okinawa Okinawa Institute of Science and Technology Stochastic Divergence Minimization for Biterm Topic Model
Zhenghang Cui (Univ. of Tokyo), Issei Sato (Univ. of Tokyo/RIKEN), Masashi Sugiyama (RIKEN/Univ. of Tokyo) IBISML2017-7		 Inferring latent topics of collected short texts is useful for understanding its hidden structure and predicting new con... [more] IBISML2017-7
pp.185-192
IBISML 2016-03-18
10:00		 Tokyo Institute of Statistical Mathematics An Efficient Tensor Spectral Algorithm for Learning Rank Deficient Co-cluster Structure from Large Scale Relational Data
Hideo Umetani, Iku Ohama (Panasonic Co., Ltd) IBISML2015-99		 The Stochastic Block Model (SBM) is a well-known relational model for discovering co-cluster structure from relational d... [more] IBISML2015-99
pp.39-46
NC, MBE
(Joint)		 2009-03-11
16:10		 Tokyo Tamagawa Univ. Numerical Calculation of Stochastic Complexties through Optimization of Gaussian Mixture centered on MCMC Samples
Takayuki Higo, Kenji Nagata, Sumio Watanabe (Tokyo Inst. of Tech.) NC2008-112		 Stochastic complexity is a criterion for model selection and determination of hyper parameters in Bayesian learning．If s... [more] NC2008-112
pp.51-56
 Results 1 - 6 of 6  /   
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