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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 41 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
TL 2016-07-23
15:15
Tokyo Waseda Univ. (Nishi-Waseda Campus) Theoretical linguistics, psycho-linguistics, and foreign-language learning -- A model of their knowledge cycle --
Toshiyuki Yamada (Gunma Univ.) TL2016-16
In linguistic research, theoretical linguistics, psycho-linguistics, and foreign-language learning have been studied in ... [more] TL2016-16
pp.19-24
TL 2015-02-28
13:00
Kyoto Kyoto Koka Women's University Development of the Grammatical Pattern Profiling System with Sentence Corpus of Remedial English
Kiyomi Chujo (Nihon Univ.), Chikako Nishigaki (Chiba Univ.), Shiro Akasegawa (Lago), Masao Utiyama (NICT) TL2014-58
A free, user-friendly Grammatical Pattern Profiling System (GPPS) with Sentence Corpus of Remedial English (SCoRE) has b... [more] TL2014-58
pp.43-46
MBE, NC
(Joint)
2014-12-13
09:40
Aichi Nagoya University Competitive Learning Model for Freezing using Multiple Control Modules
Masato Waragai, Naohiro Fukumura (Toyohashi Univ. of Tech.) NC2014-46
A model to control degrees of freedom (DOF) using modular structure is proposed for a problem of redundant degrees of fr... [more] NC2014-46
pp.13-18
WIT 2014-12-11
12:00
Tokyo AIST Tokyo Waterfront Development of a Freely Transformable Kanji Assembling Application
Taro Morino, Keita Suzuki, Tetsuya Watanabe (Niigata Univ.) WIT2014-60
Kanji learning materials by means of assembling their radicals are useful for not only sighted people but also people wi... [more] WIT2014-60
pp.41-45
COMP 2014-12-05
15:25
Kumamoto Sojo University Homomorphism-Substitutable Context-free Languages and Learning Algorithm
Takayuki Kuriyama (Sokendai/ NII) COMP2014-38
We generalized the class of $k,l$-substitutable languages (Yoshinala, 2008). Each language in the generalized class is c... [more] COMP2014-38
pp.37-44
IBISML 2014-11-18
15:00
Aichi Nagoya Univ. [Poster Presentation] Asymptotic Analysis of Variational Bayesian Latent Dirichlet Allocation
Shinichi Nakajima (TU Berlin), Issei Sato, Masashi Sugiyama (Univ. of Tokyo), Kazuho Watanabe (Toyohashi Univ. of Tech.), Hiroko Kobayashi (Nikon) IBISML2014-64
Latent Dirichlet allocation (LDA) is a popular generative model
of various objects such as texts and images,
where an ... [more]
IBISML2014-64
pp.219-226
ET 2014-09-27
10:30
Shimane Shimane Univ. (Matsue Campus) Construction of Educational Material Knowledge on Basic Knowledge Learning by Question-Posing
Toshihiro Hayashi, Takuya Kishimoto, Yuji Hirai, Kazuhiro Ura, Akihiro Iwaki, Rihito Yaegashi, Hiroshi Murai, Hiroyuki Tarumi (Kagawa Univ.) ET2014-30
It is not always said that e-Learning systems designed under expectation of free learning by learners realize ideal lear... [more] ET2014-30
pp.5-9
ET 2014-03-08
12:50
Kochi Kochi National College of Technology Development of Learning Support System for Basketball Shoot Form in the Free Throw
Yusuke Yamanaka, Takahiko Mendori (KUT) ET2013-111
In this paper, we developed a learning suppoort system for basketball shoot form in the free throw.
The shoot form is ... [more]
ET2013-111
pp.113-118
IBISML 2014-03-06
13:50
Nara Nara Women's University Finding scale-free networks of Gaussian graphical models by sampling
Shota Shikita, Osamu Maruyama (Kyushu Univ.) IBISML2013-69
The problem of learning the structure of a Gaussian graphical model is to infer the graph representing the relationship ... [more] IBISML2013-69
pp.15-22
SANE 2013-12-20
15:20
Saitama Nippon Institute of Technology Use of Antenna Array in Sensing
Jihoon Hong, Tomoaki Ohtsuki (Keio Univ.) SANE2013-112
In this report, we introduce a sensing system for activity recognition and localization using an antenna array, referred... [more] SANE2013-112
pp.31-36
NC, IPSJ-BIO [detail] 2011-06-24
16:30
Okinawa 50th Anniversary Memorial Hall, University of the Ryukyus Solving POMDPs using Restricted Boltzmann Machines with Echo State Networks
Makoto Otsuka, Junichiro Yoshimoto, Stefan Elfwing, Kenji Doya (OIST) NC2011-19
A partially observable Markov decision process (POMDP) can be solved in a model-based way using explicit knowledge of th... [more] NC2011-19
pp.143-148
RCS 2011-04-21
15:25
Kanagawa Keio University [Requested Talk] Tag-Free Indoor Localization Using Array Sensor
Jihoon Hong, Shun Kawakami, Tomoaki Ohtsuki (Keio Univ.) RCS2011-9
We have proposed an indoor monitoring and security system (array sensor) based on array signal processing.
The proposed... [more]
RCS2011-9
pp.47-52
NC, MBE
(Joint)
2010-03-10
15:00
Tokyo Tamagawa University Control of an Inverted Pendulum using Multiple Feedback Error Learning Modules with Different Degrees of Freedom
Makoto Tsukamoto, Naohiro Fukumura (Toyohashi Univ. of Tech.) NC2009-126
To solve a problem of redundant degrees of freedom (DOF) when a human performs the motor learning, we have proposed a mo... [more] NC2009-126
pp.225-230
NC, MBE
(Joint)
2009-12-11
16:10
Aichi   A Motor Control Model of Degrees of Freedom in Inverted Pendulum Control using Feedback Error Learning
Makoto Tsukamoto, Naohiro Fukumura (Toyohashi Univ. of Tech.) NC2009-67
As a motion of human is realized by many joints and muscles, it is necessary to solve a problem of redundant degrees of ... [more] NC2009-67
pp.25-30
NC, MBE
(Joint)
2009-11-12
14:55
Miyagi Tohoku Univ. Task-dependent selection of model-free and model-based strategies
Akihiro Funamizu (Univ. Tokyo), Makoto Ito, Kenji Doya (OIST), Ryohei Kanzaki (Univ. Tokyo), Hirokazu Takahashi (Univ. of Tokyo/PRESTO JST) NC2009-57
To investigate the roles of model-free and model-based strategies in action learning, we examined how well the two behav... [more] NC2009-57
pp.41-46
NC, MBE
(Joint)
2009-03-11
16:10
Tokyo Tamagawa Univ. Numerical Calculation of Stochastic Complexties through Optimization of Gaussian Mixture centered on MCMC Samples
Takayuki Higo, Kenji Nagata, Sumio Watanabe (Tokyo Inst. of Tech.) NC2008-112
Stochastic complexity is a criterion for model selection and determination of hyper parameters in Bayesian learning.If s... [more] NC2008-112
pp.51-56
NC 2007-03-15
11:20
Tokyo Tamagawa University A Motor Control Learning Model of Degrees of Freedom in Postural Control
Kenji Uematsu, Naohiro Fukumura (Toyohashi Univ. Tech.), Yoji Uno (Nagoya Univ.)
In this study, we propose an efficient learning model that learns fast in a low dimensional state space using a low degr... [more] NC2006-158
pp.31-36
ET 2007-03-09
11:55
Kochi   Development of the pulley virtual laboratory with force feedback device for learning physics
Hiroshi Takamatsu, Yukihiro Matsubara, Noriyuki Iwane (Hiroshima City University)
In this study, suggestion of e-learning which pays attention to "the making of thing" is introduced. We have developed t... [more] ET2006-133
pp.155-160
NC 2006-07-14
13:00
Tokyo Waseda University Asymptotic Behavior of Free Energy of General Boltzmann Machines in Mean Field Approximation
Yu Nishiyama, Sumio Watanabe (T.I.Tech)
In the Bayesian learning, which generally requires huge computational costs, the algorithms based on the mean field appr... [more] NC2006-38
pp.1-6
NC 2006-03-17
15:20
Tokyo Tamagawa University Asymptotic free energy of complete bipartite Boltzmann machine in mean field approximation
Yu Nishiyama, Sumio Watanabe (Tokyo Tech)
In the learning of singular learning machines, the superiority of Bayesian learning is shown. However, it requires huge ... [more] NC2005-172
pp.125-130
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