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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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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
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
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