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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 18 of 18  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] 2024-06-20
16:55
Okinawa OIST Causal Structure Learning for Zero-Inflated Data Based on Bayes Code
Masatoshi Kobayashi, Yuta Kuboki, Shin Matsushima (UTokyo)
(To be available after the conference date) [more]
WIT, HI-SIGACI 2023-12-07
11:15
Tokyo AIST Tokyo Waterfront (TBD) On Modeling Daily Activities of the Elderly Living Alone Using Markov Series of Dirichlet Multinomial Mixture Models
Ken Sadohara (AIST) WIT2023-30
To develop smart home technology designed to analyze the activity of residents based on the logs of installed sensors, a... [more] WIT2023-30
pp.31-36
IBISML 2022-12-22
10:10
Kyoto Kyoto University
(Primary: On-site, Secondary: Online)
IBISML2022-40 Supervised learning, the core technology for current "AI", predicts the future as an extension of the experienced past a... [more] IBISML2022-40
p.1
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2022-06-28
13:55
Okinawa
(Primary: On-site, Secondary: Online)
Feature selection in prediction model by LiNGAM
Taiyu Sumida, Takashi Takekawa (Kogakuin Univ.) NC2022-17 IBISML2022-17
To improve the accuracy of machine learning models, it is important to perform feature engineering based on the features... [more] NC2022-17 IBISML2022-17
pp.123-128
SC 2020-05-29
15:00
Online Online Service Discovery Using Invocation Sequence Learning in Composition with Neural Language Networks
Zeng Kungan, Incheon Paik (UoA)
Service composition can provide value-added services. Such a composition is a kind of abstract sequence, but it works wi... [more]
LOIS 2018-03-02
10:25
Okinawa Naha-City IT Souzoukan(Okinawa) The abstract of process discovery technique in the sales activity : The approach based on process mining
Yoshihito Nakayama (Tokyo Univ.), Masahiro Mori (INTRAMART), Yoshiaki Naruse, Hiroyuki Morikawa (Tokyo Univ.) LOIS2017-84
In sales activities in which results are influenced by judgment of the person, the means for eliminating the human depen... [more] LOIS2017-84
pp.77-80
IA, IN
(Joint)
2017-12-14
12:40
Hiroshima Hiroshima City Univ. [Invited Talk] Introduction to causal discovery
Shohei Shimizu (Shiga Univ.) IN2017-49 IA2017-56
Causal structure learning is one of the most exciting new topics in the fields of machine learning and statistics. This ... [more] IN2017-49 IA2017-56
pp.19-24
SP 2016-10-27
13:00
Shizuoka Shizuoka University. [Invited Talk] Unsupervised Word Discovery based on Bayesian Nonparametrics
Tadahiro Taniguchi (Ritsumeikan) SP2016-44
Word discovery is a critical task in language acquisition for infants.
Human infants can discover words from speech sig... [more]
SP2016-44
pp.21-22
PRMU 2014-03-14
09:30
Tokyo   Dynamic Attribute Discovery via Incremental Category Learning
Takayuki Umeda, Yongqing Sun, Go Irie, Kyoko Sudo, Yukinobu Taniguchi (NTT) PRMU2013-196
In recent years, attribute has shown promising results in image classi cation and object recognition.
However, it is di... [more]
PRMU2013-196
pp.169-172
ET 2014-03-08
13:15
Kochi Kochi National College of Technology Lessons Discovery Support System based on Abstraction of History Events and its Evaluation
Yusuke Nogami (Kansai Univ. Grad.), Tomoko Kojiri (Kansai Univ.), Kazuhisa Seta (School of Science, Osaka Prefecture Univ.) ET2013-112
One of the important aspects of history learning is to learn lessons from historical events and to make use of them in t... [more] ET2013-112
pp.119-124
ET 2012-11-17
10:55
Saga   Evaluation of an ipad application for botanical data retrieval by teachers in elementary and junior high schools
Tomoko Kajiyama (Aoyama Gakuin Univ.) ET2012-54
We constructed an ipad application for botanical data retrieval applying our proposed search interface ‘Concentric Ring ... [more] ET2012-54
pp.7-11
NLC 2011-07-07
13:35
Tokyo IBM Japan, Ltd. An Extraction Method of Causal Knowledge from Newspaper Corpus
Hiroki Sakaji, Shigeru Masuyama (TUT) NLC2011-2
This paper proposes a method that extracts causal knowledge from news paper articles via clue expressions.
Our method d... [more]
NLC2011-2
pp.7-10
ET 2010-12-10
13:05
Fukuoka Kyushu Institute of Technology Botanical Data Retrieval System Supporting Discovery Learning
Tomoko Kajiyama (Aoyama Gakuin Univ.) ET2010-71
We constructed a botanical data retrieval system applying our proposed search interface ‘Concentric Ring View’ for mult... [more] ET2010-71
pp.29-33
IBISML 2010-06-15
17:00
Tokyo Takeda Hall, Univ. Tokyo The Coding Divergence for Measuring the Complexity of Separating Two Sets
Mahito Sugiyama, Akihiro Yamamoto (Kyoto Univ.) IBISML2010-26
In this paper, we integrate two essential processes, discretization of real-valued data and learning of models explainin... [more] IBISML2010-26
pp.181-187
ET 2009-06-13
16:25
Aichi Nanzan Univ. Development of an Experience-based Learning Support System for Physics by Throwing
Atsushi Kanbe, Kosuke Araki, Yukihiro Matsubara, Noriyuki Iwane, Masaru Okamoto (Hiroshima City Univ.) ET2009-13
A VR-based learning support system which promotes understandings of not only simple physical laws of motion but also mor... [more] ET2009-13
pp.33-38
ET 2007-06-23
14:00
Aichi Nagoya Univ. Functional Requirements for a CSCL System for Emergent Division of Labor in Learning Activities
Hideo Funaoi (Hiroshima Univ.), Hideyuki Suzuki (Ibaraki Univ.), Yoshihiko Kubota (Joetsu Univ. of Education research), Hiroshi Kato (NIME) ET2007-11
Learning activities owe their success to whether emergent division of labor is smooth or not, in discovery learning acti... [more] ET2007-11
pp.19-24
DE 2006-07-13
09:50
Niigata HOTEL SENKEI A 3D Spatial Browser Enabling Concurrent Browsing of Web Page and Its Peripheral Information Space
Mika Nakaoka, Taro Tezuka, Katsumi Tanaka (KYoto Univ.)
Today, many elementary schools are starting to teach students to use the World Wide Web to gather information and to use... [more] DE2006-58
pp.47-52
ET 2004-12-18
14:00
Oita   VR-based physics e-learning system using force-feedback device and its effects
Noriyuki Iwane, Masayuki Inoue, Manabu Nakamura, Yukihiro Matsubara (Hiroshima City Univ.)
We have been building VR-based physics e-learning systems based on the framework which integrates VR technology and ITS.... [more] ET2004-84
pp.67-72
 Results 1 - 18 of 18  /   
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