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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 49  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IN, CCS
(Joint)
2022-08-04
14:00
Hokkaido Hokkaido University(Centennial Hall)
(Primary: On-site, Secondary: Online)
On Learning of MLP by PSO with Perturbation
Riku Takatou, Kenya Jin'no (Tokyo City Univ.) CCS2022-32
Attempt to learn the coupling coefficients of a multiclass classifier using a simplified multilayer perceptron (MLP) wit... [more] CCS2022-32
pp.30-34
RCS, SR, SRW
(Joint)
2022-03-02
10:25
Online Online Investigation on Beamforming for IRS-Assisted MIMO-OFDM Communication using Machine Learning
Julian Webber, Kazuto Yano, Norisato Suga, Yoshinori Suzuki (ATR) SR2021-86
There has recently been considerable interest in intelligent reflective surface (IRS) which can improve the capacity of ... [more] SR2021-86
pp.6-13
IN, IA
(Joint)
2021-12-17
14:30
Hiroshima Higashi-Senda campus, Hiroshima Univ.
(Primary: On-site, Secondary: Online)
Evaluating Prediction of the Access Counts of Videos Using Metadata as a Learning Parameter
Gen Koujitani, Masaya Nakayama (Univ. Tokyo) IA2021-47
In order to predict the number of accesses to videos posted on video sharing services, we performed regression predictio... [more] IA2021-47
pp.77-84
VLD, DC, RECONF, ICD, IPSJ-SLDM
(Joint) [detail]
2021-12-01
10:10
Online Online A Multilayer Perceptron Training Accelerator using Systolic Array
Takeshi Senoo, Akira Jinguji, Ryosuke Kuramochi, Hiroki Nakahara (Toyko Tech) VLD2021-23 ICD2021-33 DC2021-29 RECONF2021-31
Neural networks are being used in various applications, and the demand for fast training with large amounts of data is e... [more] VLD2021-23 ICD2021-33 DC2021-29 RECONF2021-31
pp.37-42
EST 2020-01-30
10:30
Oita Beppu International Convention Center Capacitance Matrix Estimation of Multiconductor Transmission Lines Using Machine Learning
Yuya Sato, Tadatoshi Sekine, Shin Usuki, Kenjiro T. Miura (Shizuoka Univ.) EST2019-82
In this report, we propose a technique that estimates capacitance matrices of multiconductor transmission lines (MTLs) b... [more] EST2019-82
pp.19-24
NLP 2019-09-23
12:30
Kochi Eikokuji Campus, University of Kochi Optimization of Neural Network by Using Swarm Intelligence
Takumi Nakamura, Gennki Yoshida, Chihiro Ikuta (NIT, Suzuka College) NLP2019-40
In this study, we investigate about a learning of multi-layer perceptron (MLP) by using firefly algorithm. The firefly a... [more] NLP2019-40
pp.27-30
EA, SIP, SP 2019-03-14
13:30
Nagasaki i+Land nagasaki (Nagasaki-shi) [Poster Presentation] Snore sound identification using noise suppression and multi-class classification under real environments
Keisuke Nishijima, Ken'ichi Furuya (Oita Univ.) EA2018-106 SIP2018-112 SP2018-68
In the conventional snore sound identification method, there is an issue that performance deteriorates when identifying ... [more] EA2018-106 SIP2018-112 SP2018-68
pp.43-48
ICSS 2018-11-21
14:50
Kagoshima   Spoofed Website Detection using Machine Learning
Naoki Kurihara, Hidenori Tsuji, Masaki Hashimoto (Institute of Information Security) ICSS2018-56
In recent years, the damage by fake site has been rapidly increasing. Because fake sites are ceremonious as if they are ... [more] ICSS2018-56
pp.19-24
IMQ 2018-10-19
15:05
Kyoto Kyoto Institute of Technology Examination of dimensionality of multilayer perceptron estimating dislocation regions in multicrystalline silicon photoluminescence image
Hiroaki Kudo, Tetsuya Matsumoto (Nagoya Univ.), Kentaro Kutsukake (RIKEN), Noritaka Usami (Nagoya Univ.) IMQ2018-14
In this report, we studied a specified method of regions including dislocations which are crystallographic defects in a ... [more] IMQ2018-14
pp.19-24
SC 2018-06-02
09:25
Fukushima UBIC 3D Theater, University of Aizu Simultaneous recognition of human activities and locations based on sensor array
Shoichi Ichimura, Qiangfu Zhao (Univ. of Aizu) SC2018-11
In recent years, smart homes for senior care have attracted great attention in Japan. But a smart home has a privacy iss... [more] SC2018-11
pp.59-64
SIP, EA, SP, MI
(Joint) [detail]
2018-03-19
13:00
Okinawa   [Poster Presentation] Automatic transcription of playing the shamisen by harmonic structure and positions on pressable string
Keita Masaki, Hiroaki Kudo, Tetsuya Matsumoto, Noboru Ohnishi (Nagoya Univ.), Yoshinori Takeuchi (Daido Univ.) EA2017-117 SIP2017-126 SP2017-100
In this report, we propose a method to estimate onset times, pitches and sounding string of a shamisen performance in or... [more] EA2017-117 SIP2017-126 SP2017-100
pp.93-100
IBISML 2017-11-10
13:00
Tokyo Univ. of Tokyo Analysis of Dropout in online learning
Kazuyuki Hara (Nihon Univ.) IBISML2017-61
Deep learning is the state-of-the-art in fields such as visual object recognition and speech recognition.
This learning... [more]
IBISML2017-61
pp.201-206
IBISML 2017-11-10
13:00
Tokyo Univ. of Tokyo Statistical Mechanical Analysis of Learning with Two-Layer Perceptron with Multiple Output Units -- Reconsidering Plateau Phenomenon --
Yuki Yoshida (UTokyo), Ryo Karakida (AIST), Masato Okada (UTokyo/AIST/RIKEN BSI), Shun-ichi Amari (RIKEN BSI) IBISML2017-83
The plateau phenomenon --- stopping decrease of error in the middle of learning --- is problematic.
Since Amari et al. ... [more]
IBISML2017-83
pp.347-354
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] 2017-06-23
16:00
Okinawa Okinawa Institute of Science and Technology Analysis of Robustness of Approximators Based on Neural Networks Against Redundant Dimensions
Shoichi Someno, Tomohiro Tanno, Kazumasa Horie, Jun Izawa, Tomoki Ichiba, Masahiko Morita (Tsukuba Univ.) NC2017-8
Redundant input dimensions that are not related to the output are known to lower the approximate accuracy of function ap... [more] NC2017-8
pp.21-26
NLC, TL 2016-06-04
16:50
Hokkaido Otaru University of Commerce Identification of Tweets that Mention Books -- Effects of Features, Data Size, and ML Algorithms --
Shuntaro Yada, Kyo Kageura (UTokyo) TL2016-7 NLC2016-7
We report performances of a classifier that identify Tweets that Mention Books (TMB) from tweets that contain the same s... [more] TL2016-7 NLC2016-7
pp.29-34
NC, NLP
(Joint)
2016-01-29
15:25
Fukuoka Kyushu Institute of Technology Statistical Mechanics of Perceptron Learning with Noisy Teacher
Arata Honda, Kazushi Ikeda (NAIST) NC2015-65
Learning curves of simple perceptron were derived here. They have been analyzed for half a century and the learning curv... [more] NC2015-65
pp.45-48
IBISML 2015-11-27
14:00
Ibaraki Epochal Tsukuba [Poster Presentation] Performance degradation of AMP for Ising perceptron when the system size is small
Arise Kuriya, Toshiyuki Tanaka (Kyoto Univ.) IBISML2015-85
Approximate Massage Passing (AMP) algorithm, proposed by Donoho et al., is derived from Belief Propagation (BP) algorith... [more] IBISML2015-85
pp.241-247
NC, MBE 2015-03-16
15:35
Tokyo Tamagawa University Further Speeding Up and Solution Quality Improvement of Singularity Stairs Following
Seiya Satoh, Ryohei Nakano (Chubu Univ.) MBE2014-168 NC2014-119
In a search space of a multilayer perceptron (MLP), there exists singular regions where any point is I-O equivalent to t... [more] MBE2014-168 NC2014-119
pp.289-294
NC, MBE
(Joint)
2013-12-21
15:20
Gifu Gifu University Singularity Stairs Following with Limited Numbers of Hidden Units
Seiya Satoh, Ryohei Nakano (Chubu Univ.) NC2013-65
In a search space of a multilayer perceptron having J hidden units, MLP(J), there exist flat areas called singular regio... [more] NC2013-65
pp.69-74
NC, NLP 2013-01-24
09:30
Hokkaido Hokkaido University Centennial Memory Hall Multilayer Perceptron Search Making Good Use of Singular Regions
Seiya Satoh, Ryohei Nakano (Chubu Univ.) NLP2012-104 NC2012-94
In a search space of multilayer perceptron having J hidden units, MLP(J), there exists a singular flat region created by... [more] NLP2012-104 NC2012-94
pp.1-6
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