Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU |
2020-12-18 14:25 |
Online |
Online |
Zero-shot generative model considering attribute uncertainty Yuta Sakai (Waseda Univ.), Kenta Mikawa (SIT), Masayuki Goto (Waseda Univ.) PRMU2020-59 |
Classification problems in machine learning remain an important research topic. In general, classification estimates unk... [more] |
PRMU2020-59 pp.122-127 |
IT |
2020-12-01 15:40 |
Online |
Online |
[Invited Talk]
Current Developments and Future Perspectives of Analytics for Business Data Masayuki Goto (Waseda Univ.) IT2020-27 |
This paper introduces trends in the application of advanced technologies of data analysis such as artificial intelligenc... [more] |
IT2020-27 pp.15-20 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
IBISML2018-87 |
A learning algorithm to perform sparse estimation method can estimate effective parameters of a polynomial regression mo... [more] |
IBISML2018-87 pp.321-328 |
AI |
2015-12-18 12:00 |
Okinawa |
|
A Study on Prediction Model of the Number of Applications on Internet Portal Sites for Job Hunting Takuto Notsu, Kenta Mikawa, Masayuki Goto (Waseda Univ.), Tairiku Ogihara (Recruit Career Co., Ltd.) AI2015-34 |
Recently, the number of companies which are published on internet portal sites has increased in Japan. These portal site... [more] |
AI2015-34 pp.49-54 |
AI |
2015-12-19 10:30 |
Okinawa |
|
A Method of Improving Generalization Ability of Alternating Decision Forests with Bootstrap Method Shotaro Misawa, Kenta Mikawa, Masayuki Goto (Waseda Univ.) AI2015-49 |
In this study, we focus on the Alternating Decision Forests (ADF) which is famous as an effective ensemble method of dec... [more] |
AI2015-49 pp.137-142 |
AI |
2015-12-19 10:50 |
Okinawa |
|
A Study of Local Distance Metric Learning and Classifying Method Based on the Local Distances Saito Hiroshi, Mikawa Kenta, Goto Masayuki (Waseda Univ.) AI2015-50 |
The distance metric learning is the approach which enables to acquire a good metric for automatic data classification. I... [more] |
AI2015-50 pp.143-148 |
AI |
2015-12-19 11:10 |
Okinawa |
|
A Learning Method of Distributed Support Vector Machine Based on Transfer Control of Data Yukawa Kiichiro, Mikawa Kenta, Goto Masayuki (Waseda Univ.) AI2015-51 |
Due to the development of information technology, the analysis of big data stored in various databases has become more i... [more] |
AI2015-51 pp.149-154 |
IT |
2014-07-17 10:10 |
Hyogo |
Kobe University |
Distance Metric Learning with Low Computational Complexity based on Ensemble of Low-dimensional Matrixes Hiroshi Saito, Fumihiro Yamazaki, Kenta Mikawa, Masayuki Goto (Waseda Univ.) IT2014-12 |
The distance metric learning is the approach which enables to acquire a good metric for automatic data classification. I... [more] |
IT2014-12 pp.7-12 |
IT |
2014-07-18 10:20 |
Hyogo |
Kobe University |
A Prediction Method based on Weighted Ensemble of Decision Tree on Alternating Decision Forests. Shotaro Misawa, Naohiro Fujiwara, Kenta Mikawa, Masayuki Goto (Waseda Univ.) IT2014-29 |
In this study, we focus on the Alternating Decision Forests (ADF). The ADF introduces the weights which represent the de... [more] |
IT2014-29 pp.101-106 |
AI |
2012-11-26 13:00 |
Fukuoka |
|
Automatic Detection of Plagiarized Source Code Based on Smith-Waterman Algorithm Focusing on Feature Terms Kenta Hibi, Gendo Kumoi, Kenta Mikawa, Masayuki Goto (Waseda Univ.) AI2012-15 |
The source code plagiarism is one of serious problems on computer programming classes in educational organizations. In t... [more] |
AI2012-15 pp.1-6 |
AI |
2012-11-26 13:30 |
Fukuoka |
|
A New Classification Method Focusing on Prediction Accuracy of Classifiers for ECOC Classification Systems Sotaro Ishibashi, Kenta Mikawa, Takashi Ishida, Masayuki Goto (Waseda Univ.) AI2012-16 |
The ECOC method is known as a powerful tool using a combination of binary classifiers for multi-valued document classifi... [more] |
AI2012-16 pp.7-12 |
IBISML |
2012-11-07 15:30 |
Tokyo |
Bunkyo School Building, Tokyo Campus, Tsukuba Univ. |
A Proposal of Adaptive Metric Learning Using Category information for Text Classification Kenta Mikawa, Takashi Ishida, Masayuki Goto, Shigeichi Hirasawa (Waseda Univ.) IBISML2012-45 |
Extended cosine measure has been proposed as one of the method of metric learning which learns metric matrix
expressin... [more] |
IBISML2012-45 pp.83-88 |
IBISML |
2012-11-07 15:30 |
Tokyo |
Bunkyo School Building, Tokyo Campus, Tsukuba Univ. |
A Privacy Preserving Distributed Calculation Method of Least-squares Estimator for Linear Regression Models Tota Suko, Shunsuke Horii (Waseda Univ), Manabu Kobayashi (Shonan Institute of Tec), Masayuki Goto, Toshiyasu Matsushima, Shigeichi Hirasawa (Waseda Univ) IBISML2012-49 |
In this paper, we study a privacy preserving linear regression analysis. We propose a new protocol of distributed calcul... [more] |
IBISML2012-49 pp.107-111 |
NLP |
2011-11-11 09:35 |
Okinawa |
Miyako Island Marine Terminal |
An Error Probability Analysis of the Text Classification Using the CTW Algorithm Manabu Kobayashi (SIT), Masayuki Goto, Toshiyasu Matsushima (Waseda Univ.), Shigeichi Hirasawa (Cyber Univ.) NLP2011-111 |
The text classification problem has been investigated by various techniques, such as a vector space model, a support vec... [more] |
NLP2011-111 pp.109-114 |
IT |
2011-01-18 15:10 |
Nara |
|
An improved bit flipping decoding algorithm based on messages of binary sequence Yuki Taniguchi, Gou Hosoya, Masayuki Goto (Waseda Univ.), Shigeichi Hirasawa (Waseda Univ./Cyber Univ.) IT2010-64 |
Though the iterative threshold of Bit-flipping (BF) decoding is less than that of belief-propagation (BP) decoding, BF d... [more] |
IT2010-64 pp.61-66 |
IT |
2011-01-18 16:20 |
Nara |
|
Efficient encoding of Generalized LDPC Codes Kenichi Teramoto, Gou Hosoya, Masayuki Goto (Waseda Univ.), Shigeichi Hirasawa (Waseda Univ./Cyber Univ.) IT2010-67 |
[more] |
IT2010-67 pp.79-84 |
AI |
2010-11-19 10:50 |
Fukuoka |
Kyushu Univ. |
A Note on Documents Classification using PLSI Gendo Kumoi, Takashi Ishida, Masayuki Goto (Waseda Univ.), Shigeichi Hirasawa (Cyber Univ.) AI2010-33 |
Recently, with increasing electric documents, effective knowledge acqusition become important issue method.
Document c... [more] |
AI2010-33 pp.13-18 |
AI |
2010-11-19 13:50 |
Fukuoka |
Kyushu Univ. |
Interactive genetic algorithm to estimate weight parameters of evaluate function Eitaro Ishikawa, Takashi Ishida, Masayuki Goto (Waseda Univ.) AI2010-37 |
In general, optimization method by using interactive evolutionary computation (IEC) is a well known technique to solve p... [more] |
AI2010-37 pp.37-42 |
AI |
2010-11-19 14:50 |
Fukuoka |
Kyushu Univ. |
Web page recommendation based on user's tagging tendency in social bookmark Yuuki Kishibata, Takashi Ishida, Masayuki Goto (Waseda Univ.) AI2010-39 |
Recently, web page recommendation systems by using social bookmark services have been studied with development of inform... [more] |
AI2010-39 pp.49-53 |
IT |
2010-07-22 09:50 |
Tokyo |
Kogakuin University |
An Efficient Bayes Coding Algorithm for Context Tree Sources with Unknown Alphabet Hiroki Iwama, Kenichi Teramoto, Takashi Ishida, Masayuki Goto (Waseda Univ.) IT2010-11 |
In general universal coding, it is supposed that every symbol in alphabet appears. However, some symbols may not apper i... [more] |
IT2010-11 pp.1-6 |