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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 19 of 19  /   
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
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, 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
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
NS 2005-04-21
13:50
Aichi Nanzan-Univ. Classifying Flow Characteristics using Naive Bayesian Classifier
Tatsuya Mori, Ryoichi Kawahara, Noriaki Kamiyama (NTT)
The statistics of {\it flow\/}, which is an unit of traffic produced by each user or application, gives us a meaningful ... [more] NS2005-3
pp.9-12
PRMU, NLC 2005-02-24
11:00
Tokyo   Optimal combination of labeled and unlabeled data for semi-supervised classification
Akinori Fujino, Naonori Ueda, Kazumi Saito (NTT)
Unlabeled data are used to improve the accuracy of classifiers when the number of labeled data is not enough. In probabi... [more] NLC2004-100 PRMU2004-182
pp.19-24
PRMU 2004-11-19
10:00
Fukui   Discrimination of signboard pictures using a mobile camera
Takayasu Yamaguchi, Hiroshi Aono, Sadayuki Hongo (NTT DoCoMo, Inc.)
In this paper, we evaluate some learning and discrimination methods for discrimination of signboard pictures from viewpo... [more] PRMU2004-106
pp.7-12
 Results 1 - 19 of 19  /   
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