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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CQ | 2017-07-27 12:05 |
Hyogo | Kobe University | Time series analysis of failure rates of equipments for telecommunication networks.
-- State space model using Bayesian inference -- Hiroyuki Funakoshi (NTT)  CQ2017-35 |
The author has been analyzed the failure rate of telecommunication network equipments by time series analysis using ARIM... [more] | CQ2017-35 pp.37-42 |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] | 2017-06-25 09:55 |
Okinawa | Okinawa Institute of Science and Technology | Stochastic Divergence Minimization for Biterm Topic Model Zhenghang Cui (Univ. of Tokyo), Issei Sato (Univ. of Tokyo/RIKEN), Masashi Sugiyama (RIKEN/Univ. of Tokyo) IBISML2017-7 |
Inferring latent topics of collected short texts is useful for understanding its hidden structure and predicting new con... [more] | IBISML2017-7 pp.185-192 |
| ASN, MoNA, MICT (Joint) |
2017-01-19 14:50 |
Oita | Method of simple screening Measurement for Radiation Wireless Monitoring by Applying Non-linear Estimation Yoshitsugu Nakagawa, Chisato Murakami (TIRI), Kazuyuki Mori, Haruhiko Sato (ING) ASN2016-74 |
Five years have passed since the Fukushima nuclear power plant accident, and the decontamination project in disaster are... [more] | ASN2016-74 pp.31-36 |
|
| SP, IPSJ-SLP, NLC, IPSJ-NL (Joint) [detail] |
2016-12-20 15:10 |
Tokyo | NTT Musashino R&D | [Poster Presentation]
Fast algorithm for statistical phrase/accent command estimation based on generative model incorporating spectral features Ryotaro Sato (The Univ. of Tokyo), Hirokazu Kameoka, Kunio Kashino (NTT) SP2016-56 |
On the basis of the Fujisaki model, we propose a fast algorithm for estimating the model parameters, namely, the timings... [more] | SP2016-56 pp.43-48 |
| SIS | 2016-12-08 17:10 |
Hiroshima | Hiroshima City Univ. | [Invited Talk]
MRI measurement of water diffusion in living body and its application for inferring anatomical structures Masutani Yoshitaka (Hiroshima City Univ.) SIS2016-41 |
Diffusion MRI data consists of diffusion-weighted images with several imaging parameters, enables us to infer microstruc... [more] | SIS2016-41 pp.71-72 |
| R | 2016-11-17 14:25 |
Osaka | Osaka Central Electric Club Bldg. | Software Reliability Analysis Based on Machine Learning Toru Kaise (Univ. of Hyogo) R2016-50 |
Software debugging processes are made to be effective by managing methods with reliability evaluations. The reliability ... [more] | R2016-50 pp.7-11 |
| PN | 2016-11-17 15:05 |
Saitama | KDDI Research, Inc. | A Bayesian-based Virtual Network Reconfiguration in Elastic Optical Path Networks Toshihiko Ohba, Shin'ichi Arakawa, Masayuki Murata (Osaka Univ.) PN2016-33 |
A typical approach for constructing/reconfiguring a virtual network (VN) is to design an optimal topology and the amount... [more] | PN2016-33 pp.45-50 |
| IBISML | 2016-11-16 15:00 |
Kyoto | Kyoto Univ. | A study of message propagation algorithms for approximate MAP inference of large scale probabilistic models Takashi Sano, Yuuji Ichisugi (AIST AIRC) IBISML2016-57 |
(To be available after the conference date) [more] | IBISML2016-57 pp.81-86 |
| IBISML | 2016-11-16 15:00 |
Kyoto | Kyoto Univ. | Inference of Classical Spin Model by Multidimensional Multiple Histogram Method Hikaru Takenaka (UTokyo), Kenji Nagata (UTokyo/AIST/JST), Takashi Mizokawa (Waseda Univ.), Masato Okada (UTokyo/RIKEN) IBISML2016-61 |
We propose a novel method for effective Bayesian inference of classical spin model by the multidimensional multiple hist... [more] | IBISML2016-61 pp.109-116 |
| IBISML | 2016-11-17 14:00 |
Kyoto | Kyoto Univ. | Gaussian Markov random field model without periodic boundary conditions Shun Katakami, Hirotaka Sakamoto, Shin Murata, Masato Okada (UTokyo) IBISML2016-83 |
In this study, we discuss Gaussian Markov random field model without periodic boundary conditions. First, we formulate a... [more] | IBISML2016-83 pp.267-274 |
| IBISML | 2016-11-17 14:00 |
Kyoto | Kyoto Univ. | [Poster Presentation]
Learning Topic Models with Pseudo-Document based on Random Walk Kento Nozawa, Kei Wakabayashi (Univ. Tsukuba) IBISML2016-86 |
It has been pointed out that topic models fail to infer topics on short texts. We propose a method that runs random wal... [more] |
IBISML2016-86 pp.287-292 |
| IBISML | 2016-03-18 10:00 |
Tokyo | Institute of Statistical Mathematics | An Efficient Tensor Spectral Algorithm for Learning Rank Deficient Co-cluster Structure from Large Scale Relational Data Hideo Umetani, Iku Ohama (Panasonic Co., Ltd) IBISML2015-99 |
The Stochastic Block Model (SBM) is a well-known relational model for discovering co-cluster structure from relational d... [more] | IBISML2015-99 pp.39-46 |
| MSS | 2016-03-03 16:50 |
Yamaguchi | KAIKYO MESSE SHIMONOSEKI | [Invited Talk]
From Inference to Equivalent Transformation
-- Towards a new theory for Computational Logic -- Kiyoshi Akama (Hokkaido Univ.) MSS2015-77 |
Trial of a big structural change of the theory of computational logic is discussed in this paper. Logical Problems such ... [more] | MSS2015-77 pp.53-56 |
| SS, MSS | 2016-01-25 14:00 |
Ishikawa | Shiinoki-Geihin-Kan | A Verification Tool for k-Secrecy of XML Databases and Its Optimization Takatoshi Asai, Kenji Hashimoto, Hiroyuki Seki (Nagoya Univ.) MSS2015-43 SS2015-52 |
An inference attack is a malicious way to obtain the result of an unauthorized query by combining the database schema,... [more] |
MSS2015-43 SS2015-52 pp.47-52 |
| MI | 2015-09-08 14:50 |
Tokyo | Univ. of Electro-communications | Model Selection from the q-Exponential Distribution for Constructing an Organ Point Distribution Model Mitsunori Yamada, Hidekata Hontani, Hiroshi Matsuzoe (NIT) MI2015-54 |
The authors propose a method that selects an appropriate distribution model for accurately representing statistics of th... [more] | MI2015-54 pp.31-34 |
| SP | 2015-08-21 10:00 |
Iwate | Iwate Prefectural Univ. | Latent Words Recurrent Neural Network Language Models for Automatic Speech Recognition Ryo Masumura, Taichi Asami, Takanobu Oba, Hirokazu Masataki, Sumitaka Sakauchi (NTT), Akinori Ito (Tohoku Universicty) SP2015-50 |
This paper proposes a novel language modeling approach called latent word recurrent neural network language model, which... [more] | SP2015-50 pp.1-6 |
| SS | 2015-05-12 13:30 |
Kumamoto | Kumamoto University | A Verification Method for k-Secrecy of XML Databases by Model Counting Takatoshi Asai, Masanori Uesugi, Kenji Hashimoto, Hiroyuki Seki (Nagoya Univ.) SS2015-15 |
An inference attack is a malicious way to obtain the result of an unauthorized query by combining the database schema,... [more] |
SS2015-15 pp.71-76 |
| NC, MBE | 2015-03-17 13:00 |
Tokyo | Tamagawa University | Latent dynamics estimation from time-series spectral data Shin Murata, Kenji Nagata (Univ. of Tokyo), Makoto Uemura (Hiroshima Univ.), Masato Okada (Univ. of Tokyo/RIKEN) MBE2014-173 NC2014-124 |
Estimation of latent dynamics from time-series data is important problem in a broad range of fields. In this research, w... [more] | MBE2014-173 NC2014-124 pp.319-324 |
| ISEC, LOIS, SITE | 2014-11-22 10:15 |
Hyogo | An approach to assess the risk of information leakage by inference
-- A pilot study of a visualization tool and an algorithm using local connectivity in digraphs -- Kazuhiro Suzuki, Haruka Uchima, Miki Kondo (Kochi Univ.) ISEC2014-63 SITE2014-54 LOIS2014-33 |
We study a graph-based model against information leakage from multiple pieces of information, where a relationship among... [more] | ISEC2014-63 SITE2014-54 LOIS2014-33 pp.45-50 |
|
| TL | 2014-08-13 10:00 |
Tokyo | The University of Tokyo (Komaba) 18 Bldg. Hall | [Tutorial Lecture]
Fitting linear mixed models using JAGS and Stan: A tutorial Shravan Vasishth, Tanner Sorensen (Univ. of Potsdam) TL2014-28 |
Psycholinguists routinely use linear mixed models (LMMs) for statistical inference. The most widely used tool for this p... [more] | TL2014-28 pp.95-96 |
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