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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ET, IPSJ-CLE | 2022-06-12 10:00 |
Aichi | Nagoya Institute of Technology/Online (Primary: On-site, Secondary: Online) |
Developing teaching materials for university students for data analysis in statistical inquiry process Katsumi Yoshine (Nanzan Univ.)  ET2022-7 |
While the number of universities where you can study data science is increasing, there is also a growing tendency to inc... [more] | ET2022-7 pp.26-29 |
| ET | 2021-06-05 14:00 |
Online | Online | Collecting example sentences that describe the characteristics of statistical data
-- for the purpose of improving the ability to explain statistics in text -- Katsumi Yoshine (Nanzan Univ.) ET2021-3 |
With the increasing the need for statistical, new goals for statistic learners are being considered. The new goals often... [more] | ET2021-3 pp.13-16 |
| ET | 2018-06-16 14:00 |
Aichi | Nanzan University | Database of Examples of Data File for Exercises on Data Analysis Katsumi Yoshine (Nanzan Univ.) ET2018-14 |
The class concerning data analysis consists of lecture and exercises. In the lecture, a statistical theory is taught. In... [more] | ET2018-14 pp.13-16 |
| ET | 2017-11-11 16:20 |
Tokyo | Sophia Univ. | Utilizing Public Data to Learning System for Development of Skills to Interpret and Express Statistics Katsumi Yoshine (Nanzan Univ.) ET2017-65 |
In the current Course of Study for senior high schools, statistics are required in Mathematics. In the next Course of St... [more] | ET2017-65 pp.65-68 |
| R | 2015-12-18 13:30 |
Tokyo | A validation study of threshold methods in wavelet shrinkage estimation Xiao Xiao (Tokyo Metropolitan Univ.) R2015-61 |
Recently wavelet estimation has been established as nonparametric estimation method for stochastic process. In our previ... [more] | R2015-61 pp.1-6 |
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| R | 2014-10-17 13:55 |
Kagoshima | Daubechies Wavelet-based Software Reliability Prediction Xiao Xiao (Tokyo Metropolitan Univ.) R2014-56 |
Wavelet-based statistical methods have been well established especially in several areas such as non-parametric regressi... [more] | R2014-56 pp.7-12 |
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| NC, NLP | 2013-01-24 13:30 |
Hokkaido | Hokkaido University Centennial Memory Hall | Probabilistic flows of inhabitants in urban areas and self-organization in housing markets of a city designated by ordinance Takao Hishikawa, Jun-ichi Inoue (Hokkaido Univ.) NLP2012-113 NC2012-103 |
We propose a very simple probabilistic model to explain the rent distribution of housing market in Sapporo city. We ... [more] |
NLP2012-113 NC2012-103 pp.55-60 |
| NC | 2012-01-26 14:50 |
Hokkaido | Future University Hakodate | Cluster analysis and Gaussian mixture estimation of correlated time-series by means of multi-dimensional scaling Takero Ibuki (Hokkaido Univ.), Sei Suzuki (Aoyama-Gakuin Univ.), Jun-ichi Inoue (Hokkaido Univ.) NC2011-106 |
In this paper, we investigate cross-correlations between typical Japanese stocks collected through Yahoo!Japan website ... [more] |
NC2011-106 pp.53-58 |
| NC | 2012-01-26 15:40 |
Hokkaido | Future University Hakodate | Critical phenomena in mean-field Ising models and time-series prediction Shunsuke Higano, Jun-ichi Inoue (Hokkaido Univ.) NC2011-108 |
We propose a theoretical framework to predict several time-series simultaneously by using cross-correlations in fin... [more] |
NC2011-108 pp.65-70 |
| AN | 2010-07-16 14:30 |
Hokkaido | Hakodate City Central Library | [Invited Talk]
Sensor Network Testbed X-Sensor and Studies on Wireless Sensor Networks Akimitsu Kanzaki (Osaka Univ.) AN2010-25 |
Many studies on wireless sensor networks are actively devoted such as network protocols and data management technologies... [more] | AN2010-25 p.79 |
| DE | 2006-07-14 09:30 |
Niigata | HOTEL SENKEI | Parameter Setting for a Clustering Method through an Analytical Study of Real Data Sophoin Khy (Univ. of Tsukuba), Yoshiharu Ishikawa (Nagoya Univ.), Hiroyuki Kitagawa (Univ. of Tsukuba) |
In our previous papers, we have proposed a novelty-based document clustering method. The clustering method generates clu... [more] | DE2006-99 pp.43-48 |
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