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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| AI | 2021-02-12 15:10 |
Online | Online | Applying kernel density estimation to time series data using asymmetric kernel function So Fukai, Keisuke Yamazaki, Yoichi Motomura (AIST)  AI2020-33 |
This study proposes several asymmetric kernel functions and their availability of applying to time series data. The kern... [more] | AI2020-33 pp.56-59 |
| IBISML | 2015-11-26 15:00 |
Ibaraki | Epochal Tsukuba | [Poster Presentation]
Traffic Flow Analysis Based on Cellular Automata with LDA Keisuke Yamazaki (Tokyo Tech) IBISML2015-57 |
(To be available after the conference date) [more] | IBISML2015-57 pp.33-37 |
| IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2015-02-23 09:45 |
Hokkaido | Hokkaido Univ. | Modeling and Grouping of Optimal Speeds Based on Traffic-Flow Video Fumito Nakamura, Keisuke Yamazaki (Titech) ITS2014-53 IE2014-80 |
[more] | ITS2014-53 IE2014-80 pp.155-160 |
| IBISML | 2012-11-07 15:30 |
Tokyo | Bunkyo School Building, Tokyo Campus, Tsukuba Univ. | A Calculating Method for Estimation Accuracy of Latent Variables Based on the Free Energy Functions Keisuke Yamazaki (Tokyo Tech), Kazuho Watanabe (NAIST), Daisuke Kaji (Konicaminolta MG) IBISML2012-44 |
(To be available after the conference date) [more] | IBISML2012-44 pp.75-81 |
| IBISML | 2012-11-07 15:30 |
Tokyo | Bunkyo School Building, Tokyo Campus, Tsukuba Univ. | Parameter Estimation and Active Learning in the ZRP Based on Traffic Spatiotemporal Data Koichi Kobayashi, Keisuke Yamazaki (Tokyo Tech) IBISML2012-47 |
(To be available after the conference date) [more] | IBISML2012-47 pp.97-101 |
| IBISML | 2012-06-20 11:30 |
Kyoto | Campus plaza Kyoto | Accuracy of the Bayes Latent Variable Estimation from Mixture of Complete and Incomplete Data Keisuke Yamazaki (Tokyo Tech) IBISML2012-11 |
(To be available after the conference date) [more] | IBISML2012-11 pp.73-77 |
| MBE, NC (Joint) |
2012-03-16 14:35 |
Tokyo | Tamagawa University | Accuracy of Label Distribution Estimation from Mixture of Complete and Incomplete Data Keisuke Yamazaki (Tokyo Inst. of Tech.) NC2011-190 |
(To be available after the conference date) [more] | NC2011-190 pp.405-410 |
| IBISML | 2012-03-13 10:25 |
Tokyo | The Institute of Statistical Mathematics | An Accuracy Analysis of Bayes Latent Variable Estimation with Redundant Variables Keisuke Yamazaki (Tokyo Inst. of Tech.) IBISML2011-100 |
(To be available after the conference date) [more] | IBISML2011-100 pp.89-95 |
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | An Accuracy Analysis of Latent Variable Estimation with the Maximum Likelihood Estimator Keisuke Yamazaki (Tokyo Inst. of Tech.) IBISML2011-55 |
Hierarchical learning models such as mixture models and hidden Markov models are widely used in machine learning and d... [more] |
IBISML2011-55 pp.87-91 |
| IBISML | 2011-06-21 15:20 |
Tokyo | Takeda Hall | Bayesian State Estimation and its Accuracy Analysis on Hidden Markov Models Keisuke Yamazaki (Tokyo Tech) IBISML2011-6 |
[more] | IBISML2011-6 pp.37-42 |
| NC, MBE (Joint) |
2011-03-08 09:50 |
Tokyo | Tamagawa University | A Theoretical Analysis of KL-type Generalization Error on Hidden Variable Distribution Keisuke Yamazaki (Tokyo Inst. of Tech.) NC2010-165 |
In information science, hierarchical models such as mixture models, hidden Markov models and Bayesian networks are wide... [more] |
NC2010-165 pp.223-228 |
| NC, MBE (Joint) |
2011-03-08 13:45 |
Tokyo | Tamagawa University | Comparison between the Parameter and the Hidden Variable Space for Calculation of the Marginal Likelihood Takushi Miki, Keisuke Yamazaki, Sumio Watanabe (Tokyo Tech) NC2010-176 |
The marginal likelihood has important information for model selection and optimization of a prior distribution.In practi... [more] | NC2010-176 pp.289-294 |
| NC | 2010-01-18 16:05 |
Hokkaido | Hyakunen-Kinen in Hokkaido University | Rigorous Calculation Method of Bayes Marginal Likelihood in Normal Mixture Tetsutaro Yamada, Keisuke Yamazaki, Sumio Watanabe (Tokyo Inst. of Tech.) NC2009-76 |
In this paper, we propose a new calculation algorithm for the rigorous Bayes marginal likelihood in normal mixture, and ... [more] | NC2009-76 pp.31-36 |
| NC | 2010-01-18 16:30 |
Hokkaido | Hyakunen-Kinen in Hokkaido University | Necessary Data Length for HMMs Based on the Vicarious Bayes Learning Keisuke Yamazaki (Tokyo Inst. of Tech.) NC2009-77 |
The present paper analyzes the change of parameter learning due to feature selections and investigates conditions to ha... [more] |
NC2009-77 pp.37-42 |
| NC, NLP | 2009-07-14 11:00 |
Nara | NAIST | On the Posterior Distribution of HMMs for a Long Sequence Keisuke Yamazaki (Tokyo Inst. of Tech.) NLP2009-31 NC2009-24 |
Hidden Markov models (HMMs) are widely applied to analysis of time-dependent data sequences, such as non-linear signal p... [more] | NLP2009-31 NC2009-24 pp.93-98 |
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