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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-14 13:35 |
Ishikawa | The Kanazawa Theatre + Online (Primary: On-site, Secondary: Online) |
Building a Federated Personalized Recommendation Model to Balance Similarity and Diversity Masahiro Hamada, Taisho Sasada, Yuzo Taenaka, Youki Kadobayashi (NAIST)  NS2022-46 |
With the spread of on-demand movie distribution, personalized movie recommendations that match user preferences are requ... [more] | NS2022-46 pp.100-105 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Variational Approximation Accuracy in Non-negative Matrix Factorization Naoki Hayashi (MSI) IBISML2018-51 |
The asymptotic behavior of the variational free energy of the non-negative matrix factorization (NMF) has been elucidate... [more] | IBISML2018-51 pp.53-60 |
| MBE, NC (Joint) |
2018-03-14 10:25 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Experimental Analysis of Real Log Canonical Threshold in Stochastic Matrix Factorization using Hamiltonian Monte Carlo Method Naoki Hayashi, Sumio Watanabe (Tokyo Tech) NC2017-89 |
For the real log canonical threshold (RLCT) that gives the Bayesian generalization error of stochastic matrix factorizat... [more] | NC2017-89 pp.127-131 |
| IBISML | 2017-11-09 13:00 |
Tokyo | Univ. of Tokyo | [Poster Presentation]
Real Log Canonical Threshold of Stochastic Matrix Factorization and its Application to Bayesian Learning Naoki Hayashi, Sumio Watanabe (TokyoTech) IBISML2017-38 |
In stochastic matrix factorization (SMF), we deal with problems that we predict an observed stochastic matrix as a produ... [more] | IBISML2017-38 pp.23-30 |
| MBE, NC (Joint) |
2017-03-13 10:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Experimental Analysis of Real Log Canonical Threshold in Non-negative Matrix Factorization Naoki Hayashi, Sumio Watanabe (Tokyo Tech) NC2016-78 |
For the real log canonical threshold ( RLCT ) that gives the Bayesian generalization error of non-negative matrix factor... [more] | NC2016-78 pp.85-90 |
| IBISML | 2016-11-17 14:00 |
Kyoto | Kyoto Univ. | [Poster Presentation]
A real log canonical threshold of nonnegative matrix factorization and its application to Bayesian learning Naoki Hayashi, Sumio Watanabe (Tokyo Tech) IBISML2016-76 |
In nonnegative matrix factorization(NMF)，we deal with problems that we predict a data matrix as a product of two nonne... [more] |
IBISML2016-76 pp.215-220 |
| IBISML | 2014-03-06 14:55 |
Nara | Nara Women's University | Consideration of Correlation between Users' Evaluating Values and Their Dropouts in Missing Value Prediction Kenta Nishimura, Toshiyuki Tanaka (Kyoto Univ.) IBISML2013-71 |
In user-item relational data, there are sometimes correlations between values and their dropouts. Existing methods under... [more] | IBISML2013-71 pp.31-38 |
| IBISML | 2011-03-29 10:30 |
Osaka | Nakanoshima Center, Osaka Univ. | On Automatic Dimensionality Selection in Probabilistic PCA Shinichi Nakajima (Nikon), Masashi Sugiyama (Tokyo Inst. of Tech./JST), Derin Babacan (Illinois of.Univ.) IBISML2010-123 |
In probabilistic PCA, the fully Bayesian estimation is computationally intractable. To cope with this problem, two ty... [more] |
IBISML2010-123 pp.131-138 |
| COMP | 2010-03-12 09:40 |
Tokyo | National Institute of Informatics | Bayesian Joint Optimization for Matrix Factorization and Clustering Tikara Hosino (Nihon Unisys, Ltd.) COMP2009-50 |
Statistical clustering is the method for dividing the given samples by assumed distributions. In high dimensional probl... [more] |
COMP2009-50 pp.9-12 |
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