| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IBISML | 2013-11-12 15:45 |
Tokyo | Tokyo Institute of Technology, Kuramae-Kaikan | [Poster Presentation]
Exaluation of Revised IP-OLDF with S-SVM, LDF and logistic regression by K-fold cross-validation Shuichi Shinmura (Seikei Univ.)  IBISML2013-44 |
In this paper, Revised IP-OLDF based on MNM criterion is proposed using a mixed integer programming. The new discriminan... [more] | IBISML2013-44 pp.61-68 |
| R | 2013-10-18 13:30 |
Fukuoka | PoP: Prediction on Predictions Hideo Hirose, Takenori Sakumura, Yuki Koyanagi (Kyushu Inst. of Tech.) R2013-64 |
In observing the widely spread of patients caused by infectious diseases or the increase of the number of failures of eq... [more] | R2013-64 pp.1-6 |
|
| R | 2013-10-18 14:20 |
Fukuoka | A Mathematical Deterioration Model for the Thermal Stress Hideo Hirose, Takenori Sakumura (Kyushu Inst. of Tech.) R2013-66 |
We try to construct mathematical models to represent the relationship between the thermal stress and the deterioration r... [more] | R2013-66 pp.13-18 |
|
| R | 2013-10-18 15:55 |
Fukuoka | Prediction for the Spread of MERS Infection after Mecca Hajj Pilgrimage Yoshiko Tokusada, Masakazu Tokunaga, Takenori Sakumura, Hideo Hirose (Kyushu Inst. of Tech.) R2013-71 |
Middle East respiratory syndrome coronavirus (MERS-CoV), similar to SARS, has been emerging recently, and this kind of v... [more] | R2013-71 pp.41-45 |
|
| IBISML | 2012-11-08 15:00 |
Tokyo | Bunkyo School Building, Tokyo Campus, Tsukuba Univ. | An Efficient Sampling Algorithm for Bayesian Variable Selection Takamitsu Araki, Kazushi Ikeda (NAIST) IBISML2012-75 |
In Bayesian variable selection, a Gibbs variable selection (GVS) is one of the most famous sampling algorithms, and has ... [more] | IBISML2012-75 pp.291-295 |
| IBISML | 2012-11-08 15:00 |
Tokyo | Bunkyo School Building, Tokyo Campus, Tsukuba Univ. | An Ordinal Regression Model Based on Logistic Regression Models and Its Fast Sparse Bayesian Learning Kazuhisa Nagashima, Masato Inoue (Waseda Univ.) IBISML2012-87 |
The common solution to the ordinal regression problem uses the model in which noise-contained inputs are deterministical... [more] | IBISML2012-87 pp.381-385 |
| R | 2012-10-19 15:50 |
Fukuoka | A Consideration on the Estimates of Failure Parameters using the Observed Data in Early Time Tsubasa Kawano, Hideo Hirose (KIT) R2012-59 |
We sometimes use the statistical model for truncated data when we want to predict the final stage for a pandemic or fail... [more] | R2012-59 pp.29-32 |
|
| NLP | 2012-05-29 10:30 |
Akita | Akita City Exchange Plaza | Degradation Phenomenon of Electrical Contacts using some Oscillating Mechanisms
-- Modeling about Fluctuation of Contact Resistance (2) -- Shin-ichi Wada, Keiji Koshida, Hiroaki Kubota (TMC), Koichiro Sawa (NIT) NLP2012-35 |
Authors have developed some mechanisms which give real vibration to electrical contacts and studied the influences of a ... [more] | NLP2012-35 pp.49-54 |
| SS | 2012-03-13 16:45 |
Okinawa | Tenbusu-Naha | An Empirical Study of Bug Prediction for Software Changes Yasutaka Kamei, Naoyasu Ubayashi (Kyushu Univ.) SS2011-72 |
To clarify the effects of bug prediction for software changes,this paper experimentally evaluates the performance of bug... [more] | SS2011-72 pp.91-96 |
| EA | 2011-10-28 13:30 |
Nagano | Faculty of Engineering, Shinshu Univ. | Reconstruction of a Logistic Model of Acceptable Noise Levels for Road Traffic Noise Ryuji Nakagomi, Sho Arai, Kenji Furihata (Shinshu Univ) EA2011-69 |
Annoyance to noise is probably a good measure of the potential for complaint and community action. Each individual’s deg... [more] | EA2011-69 pp.7-12 |
| NC | 2011-07-25 13:45 |
Hyogo | Graduate School of Engineering, Kobe University | General Framework for Local Variational Approximation of Bayesian Learning Using Bregman Divergence Kazuho Watanabe (NAIST), Masato Okada (Univ. of Tokyo), Kazushi Ikeda (NAIST) NC2011-25 |
The local variational method is a technique to approximate an intractable posterior distribution in Bayesian learning. T... [more] | NC2011-25 pp.25-30 |
| IBISML | 2010-11-04 15:00 |
Tokyo | IIS, Univ. of Tokyo | [Poster Presentation]
A Unified Framework of Density Ratio Estimation under Bregman Divergence Masashi Sugiyama (Tokyo Inst. of Tech.), Taiji Suzuki (Univ. of Tokyo), Takafumi Kanamori (Nagoya Univ.) IBISML2010-64 |
Estimation of the ratio of probability densities has attracted a great deal of attention since it can be used for addre... [more] |
IBISML2010-64 pp.33-44 |
| HIP, ITE-HI, ITE-CE | 2010-10-15 09:00 |
Miyagi | RIEC | Statistical Analysis of the Perception of Morphologically Synthesized Textures
-- Influences of Viewing Distance, Changing Order of Viewing Positions, Gender, and Prior Knowledge -- Liang Li, Akira Asano (Hiroshima Univ.), Chie Muraki Asano (Yasuda Women's Univ.), Katsunori Okajima (Yokohama National Univ.) HIP2010-52 |
In this paper, an analysis method of the effect of several factors such as viewing distance in texture perception using... [more] |
HIP2010-52 pp.47-52 |
| IBISML, PRMU, IPSJ-CVIM [detail] | 2010-09-06 11:10 |
Fukuoka | Fukuoka Univ. | Learning Vector Quantization Using a Heavy-tailed Distribution Ansatz Hiroyoshi Miyano, Eiki Ishidera (NEC Informatec Systems) PRMU2010-81 IBISML2010-53 |
This paper presents a novel Lerning Vector Quantization (LVQ) algorithm using a heavy-tailed distribution ansatz. LVQ is... [more] | PRMU2010-81 IBISML2010-53 pp.185-192 |
| IBISML, PRMU, IPSJ-CVIM [detail] | 2010-09-06 13:40 |
Fukuoka | Fukuoka Univ. | [Fellow Memorial Lecture]
- Takio Kurita (Hiroshima Univ.) PRMU2010-84 IBISML2010-56 |
Linear Discriminant Analysis (LDA) is one of the well known methods to extract good features for classification. Otsu de... [more] | PRMU2010-84 IBISML2010-56 pp.209-214 |
| R | 2010-05-28 15:10 |
Tottori | A Note on Software Reliability Evaluation under Dynamic Testing Environment Factors Yusuke Etani, Hiroyuki Okamura, Tadashi Dohi (Hiroshima Univ.) R2010-13 |
This paper develops a logistic-regression-based software reliability model ans its effective parameter estimation meth... [more] |
R2010-13 pp.37-42 |
|
| AI | 2010-01-22 13:00 |
Tokyo | [Invited Talk]
Software Technologies for Green-House Gas Emission Ichiro Satoh (NII) AI2009-23 |
The reduction of carbon dioxide (CO$_2$) emissions by 25 percent from 1990 levels has been announced as Japan's targe... [more] |
AI2009-23 pp.25-29 |
|
| EA | 2009-10-22 14:15 |
Niigata | Sound Reproducing System for Easiness of Speech Perception Using Estimate Method of Sound Pressure Level Distribution by Logistic Model Shiho Atsumi, Kenji Furihata (Shinshu Univ.) EA2009-65 |
High volume level output at the loudspeaker can cause the loop to get into an oscillatory mode usually referred to as “h... [more] | EA2009-65 pp.55-60 |
|
| R | 2009-10-16 15:40 |
Fukuoka | Kyutech Plaza@Tenjin of Kyushu Institute of Technology | Pandemic Analysis in Swine Influenza A(H1N1)) Yuki Toyosaka, Hideo Hirose (Kyushu Inst. of Tech.) R2009-38 |
So far, we have proposed a combined model, the MADE, consisting of the SIR model with ordinary differential equations an... [more] | R2009-38 pp.31-36 |
| KBSE | 2009-01-20 13:15 |
Tokyo | Kikai-Shinko-Kaikan Bldg. B3-6 | A Comparative Study of Fault-Prone Module Detection Methods
-- Fault-proneness filtering and Logistic regression -- Liu Hua Hao, Osamu Mizuno, Tohru Kikuno (Osaka Univ.) KBSE2008-47 |
Prediction of fault-prone software modules has been one of the most classical and important area of software engineer... [more] |
KBSE2008-47 pp.61-66 |
[Return to Top Page]