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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 7 of 7  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
IN 2022-01-18
11:35
Online Online Evaluation on Prediction Method for Missing Probability of Sensor Value based on Hierarchical Structure of Missing Value
Norifumi Hirata, Osamu Maeshima, Kiyohito Yoshihara (KDDI Research) IN2021-25
Collecting sensor data via networks is important for IoT (Internet of Things) services.However, sensors sometimes have m... [more] IN2021-25
pp.7-12
CS, IN, NS, NV
(Joint)
2020-09-11
13:45
Online Online Proposal and Evaluation on Prediction Method for Electricity Using Probability of Missing Sensor Value
Norifumi Hirata, Osamu Maeshima, Kiyohito Yoshihara (KDDI Research) IN2020-27
VPP (Virtual Power Plant) is known as a system for electric power demand-supply adjustment.
VPP is realized by controls... [more]
IN2020-27
pp.31-36
IBISML 2014-03-06
14:55
Nara Nara Women's University Consideration of Correlation between Users' Evaluating Values and Their Dropouts in Missing Value Prediction
Kenta Nishimura, Toshiyuki Tanaka (Kyoto Univ.) IBISML2013-71
In user-item relational data, there are sometimes correlations between values and their dropouts. Existing methods under... [more] IBISML2013-71
pp.31-38
ASN, MoNA
(Joint)
2014-01-24
11:40
Ehime Hotel Okudogo (Matsuyama) Approach for Quantification Realization of Interpersonal Emotions
Miyuki Imada (NTT), Kei Hirose (Osaka Univ.), Manabu Yoshida (NTT DOCOMO), Masato Matsuo (NTT) ASN2013-144
We have made a challenge for quantification realization of interpersonal emotion, which is emotion strength for another ... [more] ASN2013-144
pp.153-158
SR, AN, USN, RCS
(Joint)
2012-10-19
15:55
Fukuoka Fukuoka univ. Variable Selection Method in Multiple Regression with Incomplete Sensor Data
Hisashi Kurasawa, Hiroshi Sato, Atsushi Yamamoto, Hitoshi Kawasaki, Motonori Nakamura, Hajime Matsumura (NTT) USN2012-54
Participatory sensing brings incomplete sensor data due to the spatio-temporal uncertainty of the observation. We have t... [more] USN2012-54
pp.149-154
NC 2010-01-19
14:20
Hokkaido Hyakunen-Kinen in Hokkaido University An Extension of Matrix Factorization to Mixture Model and an Application to Prediction of Movie Ratings
Masayoshi Nakamura, Takashi Takenouchi, Kazushi Ikeda (NAIST) NC2009-86
Recommendation systems suggest items to an user, based on existing history of evaluation for itemsby the users. In many ... [more] NC2009-86
pp.89-93
NC 2009-01-19
11:45
Hokkaido Hokkaido Univ. A probabilistic model of maximum margin matrix factorization with ARD prior
Masahiro Furuya (Nara Inst. of Scie and Tech), Shigeyuki Oba (Kyoto Univ.), Shin Ishii (Nara Inst.of Scie and Tech/Kyoto Univ.) NC2008-85
Various methods for missing value estimation of matrix data have been proposed based on low-rank approximation of matrix... [more] NC2008-85
pp.19-24
 Results 1 - 7 of 7  /   
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