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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-22 16:25 |
Online | Online | Reconstructing dynamical system from marked point processes and its application to real world data Kazuya Sawada, Nina Sviridova (TUS), Yutaka Shimada (Saitama Univ.), Tour Ikeguchi (TUS)  NLP2021-116 MICT2021-91 MBE2021-77 |
In this report, we applied the method of reconstructing dynamical system for the marked point process to the human pho... [more] |
NLP2021-116 MICT2021-91 MBE2021-77 pp.209-212 |
| NLP | 2021-12-18 14:15 |
Oita | J:COM Horuto Hall OITA | A study on estimating appropriate parameters of state space reconstruction Kazuya Sawada (TUS), Yutaka Shimada (Saitama Univ.), Tohru Ikeguchi (TUS) NLP2021-64 |
In this report, we investigated appropriate parameter values for reconstructing a dynamical system using delay-coordinat... [more] | NLP2021-64 pp.96-99 |
| CPSY, IPSJ-EMB, IPSJ-SLDM, DC [detail] | 2015-03-06 16:40 |
Kagoshima | An Algorithm to Reduce Components of a Gaussian Mixture Model Considering Distribution Shape of Each Component Naoya Yokoyama, Shuji Tsukiyama (Chuo Univ.), Masahiro Fukui (Ritsumeikan Univ.) CPSY2014-170 DC2014-96 |
In statistical methods, such as statistical static timing analysis (S-STA) algorithm, summation and minimum or maximum o... [more] | CPSY2014-170 DC2014-96 pp.49-54 |
|
| IBISML | 2014-11-17 17:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Target Shift Adaptation for Conditional Density Estimation and Regression Tuan Duong Nguyen (Tokyo Inst. of Tech.), Marthinus Christoffel du Plessis, Masashi Sugiyama (Univ. of Tokyo) IBISML2014-55 |
We consider the problem of domain adaptation under target shift scenario, where the target marginal distributions p(y) d... [more] | IBISML2014-55 pp.155-160 |
| IBISML | 2014-11-18 15:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Coping with Class Balance Change in Classification : Class-Prior Estimation with Energy Distance Hideko Kawakubo (Tokyo Inst. of Tech.), Marthinus Christoffel du Plessis, Masashi Sugiyama (Univ. of Tokyo) IBISML2014-71 |
Due to sample selection bias or non-stationarity of the environment, the class balance often changes between training an... [more] | IBISML2014-71 pp.271-278 |
| IBISML | 2014-03-06 14:30 |
Nara | Nara Women's University | Study about Over-Learning Phenomenon of Sample Mahalanobis Distances Yasuyuki Kobayashi (Teikyo Univ.) IBISML2013-70 |
When the learning sample size n is near the dimensionality p, the discrepant phenomenon between the distribution of the ... [more] | IBISML2013-70 pp.23-30 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2013-09-02 10:00 |
Tottori | A proposal of simple correcting scheme for sample Mahalanobis distances using Delta method Yasuyuki Kobayashi (Teikyo Univ.) PRMU2013-37 IBISML2013-17 |
In statistical machine learning technology, it is difficult to ignore errors between sample Mahalanobis distances estima... [more] | PRMU2013-37 IBISML2013-17 pp.25-30 |
|
| NC | 2009-10-24 11:05 |
Saga | Saga University | Learning of a Gibbs distribution from gene configurations in the genetic algorithm Manabu Kitagata, Jun-ichi Inoue (Hokkaido Univ.) NC2009-45 |
We introduce a learning algorithm of Gibbs distributions from training sets which are gene configurations generated by G... [more] | NC2009-45 pp.47-52 |
| MBE | 2005-01-29 17:35 |
Fukuoka | Kyushu Inst. of Tech. | Inter bony distance in the glenohumeral joint during humeral elevation Daisuke Kikuiri, Yasuo Nakamura (Niigata Univ), Mari Nakamura (Nobuhara Hospital), Toyohiko Hayashi (Niigata Univ), Toshinori Kondo, Yoshiaki Kanatani, Katsuya Nobuhara (Nobuhara Hospital) |
The glenohumeral joint has unstable and weak structure anatomically. On the other hand, it has wide range of motion. The... [more] | MBE2004-95 pp.89-92 |
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