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 |
HCGSYMPO (2nd) |
2016-12-07 - 2016-12-09 |
Kochi |
Kochi City Culture Plaza (CUL-PORT) |
Analyzing activity of Presenter and Audience on freestanding interaction Yoshihiro Matsugi, Shogo Okada, Katsumi Nitta (titech), Keisuke Yamazaki (AIST) |
Interactive presentations such as the poster presentations are complex communications where audience move around freely.... [more] |
|
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 |
IBISML |
2015-11-26 15:00 |
Ibaraki |
Epochal Tsukuba |
[Poster Presentation]
A Study on Autonomous Lane Change Models Based on Cellular Automata for Traffic Flow Optimization Daisuke Kaji (Denso Corp.), Keisuke Yamazaki (Tokyo Tech.) IBISML2015-58 |
[more] |
IBISML2015-58 pp.39-43 |
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 |