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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NC, MBE (Joint) |
2020-03-05 16:10 |
Tokyo | University of Electro Communications (Cancelled but technical report was issued) |
Improvement of neuronal ensemble inference by Monte Carlo method and applying to real data Shun Kimura, Koujin Takeda (Ibaraki Univ.), Keisuke Ota (Riken)  NC2019-101 |
In this work, we propose an improved inference algorithm for neuronal ensembles, which can classify neurons into ensembl... [more] | NC2019-101 pp.149-154 |
| CQ, CBE (Joint) |
2020-01-17 09:40 |
Tokyo | NHK Science & Technology Research Laboratories | Bayesian channel selection method for LoRaWAN under unpredictable wireless channel fluctuations Daichi Kominami (Osaka Univ.), Yohei Hasegawa, Kosuke Nogami, Hideyuki Shimonishi (NEC), Masayuki Murata (Osaka Univ.) CQ2019-122 |
Internet of Things (IoT) become a common term used in society. LPWA technology is attracting attention as one of its ele... [more] | CQ2019-122 pp.83-88 |
| PRMU | 2019-12-20 10:00 |
Oita | Analysis method and results of solution diversity about topic model Toshio Uchiyama, Tsukasa Hokimoto (HIU) PRMU2019-54 |
Probabilistic Latent Semantic Analysis and Latent Dirichlet analysis are known as topic models to analyze text data an... [more] |
PRMU2019-54 pp.49-54 |
|
| SITE | 2019-12-06 15:40 |
Kanagawa | "To be there" as an existence in logical space and an existence in probability measure space
-- "Shared logos (partage) on language games" as a necessary condition of physicality -- Tetsuya Morizumi (KU) SITE2019-86 |
How should the AI relate to the information security? The AI performs Bayesian estimation of a probability distribution ... [more] | SITE2019-86 pp.41-46 |
|
| ISEC, SITE, ICSS, EMM, HWS, BioX, IPSJ-CSEC, IPSJ-SPT [detail] | 2019-07-24 09:30 |
Kochi | Kochi University of Technology | Generation of Family Resemblance Inference Rules by Boid Annotation and Labeled-LDA
-- A Machine Learning Approach to Integrate Inference Attack Analysis and Covert Channel Attack Analysis -- Kosuke Kurebayashi, Tetsuya Morizumi, Hirotsugu Kinoshita (KU) ISEC2019-42 SITE2019-36 BioX2019-34 HWS2019-37 ICSS2019-40 EMM2019-45 |
In this paper we propose a method for machine learning similar chains of words (word chains) similar to "rules for infer... [more] | ISEC2019-42 SITE2019-36 BioX2019-34 HWS2019-37 ICSS2019-40 EMM2019-45 pp.243-249 |
| ISEC, SITE, ICSS, EMM, HWS, BioX, IPSJ-CSEC, IPSJ-SPT [detail] | 2019-07-24 10:55 |
Kochi | Kochi University of Technology | Stochastic Existence Connecting Logos that are not necessarily completely divided and Language Games
-- Limitations of Security Models and the Possibility of Artificial Intelligence -- Tetsuya Morizumi (KU) ISEC2019-49 SITE2019-43 BioX2019-41 HWS2019-44 ICSS2019-47 EMM2019-52 |
In this paper we describe that AI architecture including input data in artificial intelligence system for Bayesian estim... [more] | ISEC2019-49 SITE2019-43 BioX2019-41 HWS2019-44 ICSS2019-47 EMM2019-52 pp.317-324 |
| EMM, IT | 2019-05-23 16:35 |
Hokkaido | Asahikawa International Conference Hall | [Invited Talk]
Security of Machine Learning Satsuya Ohata (AIST), Yuya Senzaki (Idein) IT2019-6 EMM2019-6 |
In this talk, we introduce several research results on machine learning security. Especially, we will explain about adve... [more] | IT2019-6 EMM2019-6 p.29 |
| NC, MBE (Joint) |
2019-03-05 16:40 |
Tokyo | University of Electro Communications | Functional verification of human inference system based on a value driven associative memory Masahiro Miyata, Takashi Omori (Tamagawa Univ) NC2018-73 |
Humans use two types of inferences: intuitive and logical. However, they are studied separately. A site for logical infe... [more] | NC2018-73 pp.157-162 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Inference for Logitistic Regression Mixture Model with Local Variational Approximation and Study for Variational Free Energy Fumito Nakamura, Ryosuke Konishi (Generic Solution), Yasushi Kiyoki (Keio) IBISML2018-48 |
A logistic regression mixture model (LRMM) is a mixed model of the Logistic regression model, and it is widely used in t... [more] | IBISML2018-48 pp.29-36 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Variational Approximation Accuracy in Non-negative Matrix Factorization Naoki Hayashi (MSI) IBISML2018-51 |
The asymptotic behavior of the variational free energy of the non-negative matrix factorization (NMF) has been elucidate... [more] | IBISML2018-51 pp.53-60 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Hyperparameter distribution estimation for binary images with the exchange Monte Carlo method Koki Obinata, Shun Katakami, Yue Yonghao, Masato Okada (UTokyo) IBISML2018-79 |
We estimate the distribution of hyperparameters corresponding to the coupling constant and noise in- tensity from an Isi... [more] | IBISML2018-79 pp.263-270 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Active Learning in Sparse Linear Regression Models via Selective Inference Yuta Umezu (NIT), Ichiro Takeuchi (NIT/NIMS/RIKEN) IBISML2018-95 |
In order to efficiently estimate interested parameter, one can design sampling strategy by defining some criterion on th... [more] | IBISML2018-95 pp.381-388 |
| HWS, ISEC, SITE, ICSS, EMM, IPSJ-CSEC, IPSJ-SPT [detail] | 2018-07-26 12:10 |
Hokkaido | Sapporo Convention Center | About Access Control with the Deconstruction Device in Probability Measures on Metric Spaces Tetsuya Morizumi, Hirotsugu Kinoshita (KU) ISEC2018-36 SITE2018-28 HWS2018-33 ICSS2018-39 EMM2018-35 |
The word of Socrates: "Not life, but good life, is to be chiefly valued" is the dichotomy between the two, if we see tha... [more] | ISEC2018-36 SITE2018-28 HWS2018-33 ICSS2018-39 EMM2018-35 pp.281-287 |
| NS | 2018-04-19 13:25 |
Fukuoka | Fukuoka Univ. | Channel assignment for LPWA networks inspired by perceptual decision-making of human brain Daichi Kominami (Osaka Univ.), Kazuya Suzuki, Yohei Hasegawa, Hideyuki Shimonishi (NEC), Masayuki Murata (Osaka Univ.) NS2018-2 |
Low power wide area (LPWA) technology that realizes low-power-consumption and wide-area communication is rapidly spreadi... [more] | NS2018-2 pp.7-12 |
| MBE, NC (Joint) |
2018-03-14 10:25 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Experimental Analysis of Real Log Canonical Threshold in Stochastic Matrix Factorization using Hamiltonian Monte Carlo Method Naoki Hayashi, Sumio Watanabe (Tokyo Tech) NC2017-89 |
For the real log canonical threshold (RLCT) that gives the Bayesian generalization error of stochastic matrix factorizat... [more] | NC2017-89 pp.127-131 |
| IA, SITE, IPSJ-IOT [detail] | 2018-03-06 12:05 |
Tochigi | Kinugawa Onsen Hotel | What is the Ethics of Probabilistic Existence seen from a Logical One Tetsuya Morizumi (Kanagawa Univ.) SITE2017-76 IA2017-87 |
In SCIS2018 [14], we criticized the logical approach in the conventional security model and proposed a conceptual model ... [more] | SITE2017-76 IA2017-87 pp.213-219 |
| PRMU, MVE, IPSJ-CVIM [detail] | 2018-01-18 09:30 |
Osaka | Trajectory semantic segmentation based on behavior models Daisuke Ogawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda (Hiroshima Univ.) PRMU2017-112 MVE2017-33 |
In many cases, such as trajectories clustering and classification, we often divide a trajectory into segments as preproc... [more] | PRMU2017-112 MVE2017-33 pp.1-7 |
|
| PN | 2017-11-16 15:20 |
Tokyo | Kogakuin Univ. | Virtual Network Reconfiguration Based on Bayesian Attractor Model with Linear Regression Toshihiko Ohba, Shin'ichi Arakawa, Masayuki Murata (Osaka Univ.) PN2017-37 |
A typical approach for configuring a virtual network (VN) over an optical network is to design an optimal VN with a know... [more] | PN2017-37 pp.57-63 |
| IBISML | 2017-11-09 13:00 |
Tokyo | Univ. of Tokyo | [Poster Presentation]
Real Log Canonical Threshold of Stochastic Matrix Factorization and its Application to Bayesian Learning Naoki Hayashi, Sumio Watanabe (TokyoTech) IBISML2017-38 |
In stochastic matrix factorization (SMF), we deal with problems that we predict an observed stochastic matrix as a produ... [more] | IBISML2017-38 pp.23-30 |
| CQ | 2017-08-28 10:40 |
Tokyo | Tokyo University of Science | Time series analysis of failure rates of equipments for telecommunication networks.
-- State space model using Kalman filter -- Hiroyuki Funakoshi (NTT) CQ2017-50 |
The author has been predicted the failure rate of telecommunication network equipments by the state space model with Bay... [more] | CQ2017-50 pp.1-6 |
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