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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| WBS, IT, ISEC | 2021-03-05 10:15 |
Online | Online | A Proposal for Causal Inference with Subjective Evaluation Daichi Ikeda, Hikaru Morita (Graduate School of Kanagawa Univ.)  IT2020-146 ISEC2020-76 WBS2020-65 |
Machine learning techniques such as deep learning are often used for identification and personal matching in information... [more] | IT2020-146 ISEC2020-76 WBS2020-65 pp.208-212 |
| CQ, CBE (Joint) |
2019-01-17 10:55 |
Tokyo | Tokyo Metropolitan Univ. | User Behavior Analysis with Real Data Towards Micropayment Services Yuka Sagisaka, Marat Zhanikeev (Tokyo Univ. of Science) CQ2018-77 |
With rapid spread of various online video and audio streaming services, most of them depend on a continuous monthly paym... [more] | CQ2018-77 pp.7-12 |
| NS | 2018-10-19 10:40 |
Kyoto | Kyoto Kyoiku Bunka Center | [Invited Lecture]
Study of Internet Traffic Classification Based on Naive Bayesian Method Yuanzhi Shao (UEC), Ved P. Kafle (NICT) NS2018-127 |
The traditional port- and payload-based traffic detection and classification technique may not meet the security and QoS... [more] | NS2018-127 pp.111-116 |
| IN | 2017-01-20 10:20 |
Aichi | Spatio-Temporal Emotion Estimation for Automatic Map Generation of Emotion Distributions Satoru Watanabe, Komei Arasawa, Motoki Eida, Syun Hattori (Muroran Inst. of Tech.) IN2016-94 |
A certain place gives an effect on its visitor's emotion. For instance, a person who is tired of work climbs Mt. Fuji an... [more] | IN2016-94 pp.55-60 |
|
| ICD, CPSY | 2016-12-15 15:30 |
Tokyo | Tokyo Institute of Technology | [Poster Presentation]
Itaru Hida, Shinya Takamaeda, Masayuki Ikebe, Masato Motomura, Tetsuya Asai (Hokkaido Univ.) ICD2016-60 CPSY2016-66 |
In this paper, we propose a Bayesian branch prediction circuit consisting of an instruction-feature extractor and a naiv... [more] | ICD2016-60 CPSY2016-66 p.39 |
| IN, NV (Joint) |
2016-07-16 09:00 |
Hokkaido | Matsumaecho Sougo Center | Analysis and Prediction of Popularity Dynamics of User Generated Contents Tatsuya Tanaka (Osaka Univ.), Shingo Ata (Osaka City Univ.), Masayuki Murata (Osaka Univ.) IN2016-31 |
In recent years, social networking services such as YouTube, which share UGC (User Generated Contents) have become much ... [more] | IN2016-31 pp.49-54 |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] | 2016-07-06 10:25 |
Okinawa | Okinawa Institute of Science and Technology | A Semi-supervised Learning Method for Imbalanced Binary Classification Akinori Fujino, Naonori Ueda (NTT) IBISML2016-3 |
This paper presents a semi-supervised learning method for imbalanced binary classification where the number of positive ... [more] | IBISML2016-3 pp.195-200 |
| ICM, LOIS | 2016-01-21 14:20 |
Fukuoka | Fukuoka Institute of Technology | A Study of Automatic Collection System on Farm Work Recode by RFID Mizuki Ando, Yukikazu Murakami (Kagawa National College of Technology), Slamet Kristanto Tirto Utomo (The Univ. of Tokyo) ICM2015-28 LOIS2015-50 |
In this paper, we propose a system for obtaining the environmental information without being aware of data obtaining and... [more] | ICM2015-28 LOIS2015-50 pp.13-18 |
| NS, IN (Joint) |
2015-03-03 15:40 |
Okinawa | Okinawa Convention Center | A Study of Load-Balancing System with Naive Bayes Classifier Yasufumi Ogawa, Hiroyuki Nakamura (NTT) NS2014-277 |
Layer 7 Load-Balancer for session management protocol must distribute requesting messages to particular destination to k... [more] | NS2014-277 pp.589-594 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2014-09-01 17:00 |
Ibaraki | Analysing the Fairness of Fairness-aware Classifiers Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh (AIST), Jun Sakuma (Univ. of Tsukuba) PRMU2014-47 IBISML2014-28 |
Calders and Verwer's two-naive-Bayes is one of fairness-aware classifiers, which classify objects while excluding the in... [more] | PRMU2014-47 IBISML2014-28 pp.85-92 |
|
| EE, IEE-HCA | 2014-05-29 11:30 |
Tokyo | The Kikai Shinko Kaikan building | Estimating on/off state of electric appliances by using statistical features of power-time-series
-- Evaluating effectiveness of the feature, Evaluating estimation accuracy -- Hiroshi Inoue, Fumihiko Ishiyama, Toshio Watanabe, Takashi Ohyama (NTT) EE2014-4 |
A method for estimating an On/Off state of air-conditioners using statistical features extracted from time series of ove... [more] | EE2014-4 pp.19-23 |
| NLC | 2013-12-04 13:30 |
Tokyo | Gree Inc. | Anaphoric Analysis System ANASYS
-- Zero-Anaphora Resolution based on Naive Bayes Method for semantic features gained from sentence semantic analysis -- Masato Hattori, Minoru Harada (Aoyama Gakuin Univ.) NLC2013-34 |
Zero-anaphora resolution is a required key techniques to achieve high accuracy in many recently-developed natural langua... [more] | NLC2013-34 pp.7-12 |
| ISEC, LOIS | 2013-11-28 13:55 |
Miyagi | Tohoku Univ. | Classifying Questions of Product Accidents in Help desk Questions
-- Using Semantic Orientations of Words and Judicial Precedents of Product Liability law -- Koji Wajima (AIIT), Tomomi Ogawa, Toshihiro Furukawa (TUS) ISEC2013-60 LOIS2013-26 |
This paper proposes the methods which classify the kind of questions relative to product accidents as negativedocuments.... [more] | ISEC2013-60 LOIS2013-26 pp.9-14 |
| PRMU, IE, MI | 2010-05-14 14:15 |
Aichi | Chubu Univ. | A novel method for minimum entropy clustering using competitive learning Toshio Uchiyama, Takeharu Eda, Katsuji Bessho, Tadasu Uchiyama, Katsuyoshi Tanabe (NTT) IE2010-39 PRMU2010-27 MI2010-27 |
We propose a novel method (algorithm), which uses competitive learning, for clustering based on minimizing average e... [more] |
IE2010-39 PRMU2010-27 MI2010-27 pp.139-144 |
| IN, NS (Joint) |
2009-03-03 09:20 |
Okinawa | Okinawa-Zanpamisaki Royal Hotel | PrBL: Probabilistic BlackList for E-mail Spammers Tatsuya Mori (NTT) NS2008-146 |
Recent drastic increase in the number of spam messages has caused significant overload on e-mail delivery systems. IP... [more] |
NS2008-146 pp.15-20 |
| NC | 2008-11-07 16:00 |
Saga | Saga Univ. | Averaging Naive Bayes Trees Mori Kurokawa, Hiroyuki Yokoyama (KDDI R&D Labs.), Akito Sakurai (Keio Univ.) NC2008-62 |
Naive Bayes (NB) is a simplified Bayesian classifier under the conditional independence assumption and Augmented Naive B... [more] | NC2008-62 pp.19-24 |
| NC | 2008-01-15 16:10 |
Hokkaido | Centennial Hall, Hokkaido Univ. | Feature Analysis of Auditory Evoked Potentials by Statistical Discrimination Yasuyuki Inoue (TUT), Akitoshi Ogawa (RIKEN), Kouta Arai, Hidehiko Matsumoto (Sakushin Gakuin Univ.), Atsuhito Toyomaki (Hokkaido Univ.), Hiroshige Takeichi (RIKEN), Takashi Omori, Sachiko Koyama (Hokkaido Univ.), Takashi Morotomi (Sakushin Gakuin Univ.), Michiteru Kitazaki (TUT) NC2007-94 |
To estimate the input stimulus from observer's evoked brain potentials (ERPs), we have developed a classification techni... [more] | NC2007-94 pp.43-48 |
| NC | 2006-10-11 13:00 |
Nara | NAIST | [Invited Talk]
Bayesian approaches in Natural Language Processing Daichi Mochihashi (ATR/NICT) |
This paper overviews Bayesian approaches in natural language processing that are becoming prominent. Without any knowl... [more] |
NC2006-49 pp.25-30 |
| IN, ICM, LOIS (Joint) |
2006-01-20 15:20 |
Kyoto | Kyoto Univ. | Evaluation Methods for Improvement of Sensory Accuracy in Spam Filter Hiroki Tanioka, Kayoko Tonoi, Takashi Nakagawa (Justsystem) |
We propose evaluation methods for improvement of sensory accuracy in spam mail filter. In spam mail filter, it is diffic... [more] | OIS2005-84 pp.29-33 |
| NS | 2005-10-20 16:25 |
Niigata | [Encouragement Talk]
Applying Naive Bayesian Classifier to network management Tatsuya Mori, Ryoichi Kawahara, Noriaki Kamiyama (NTT) |
This paper develops a new method, which detects hosts infected by worms. The key idea is to use Naive Bayesian Classifie... [more] | NS2005-103 pp.17-20 |
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