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Technical Committee on Information-Based Induction Sciences and Machine Learning (IBISML) (Searched in: 2018)
Search Results: Keywords 'from:2018-11-05 to:2018-11-05'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Distance Metric Learning Between Graphs Based on Subgraph Tomoki Yoshida (NITech), Ichiro Takeuchi (NITech/NIMS/RIKEN), Masayuki Karasuyama (NITech/NIMS/JST)  IBISML2018-64 |
A standard approach to evaluating distance between two graphs is to use common subgraphs contained in the two graphs. Fo... [more] | IBISML2018-64 pp.151-158 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Discovery of Governing equations in Reproducing Kernel Hilbert space Yosuke Otsubo (Nikon), Shinichi Nakajima (TUB/RIKEN) IBISML2018-65 |
It has great value in lots of scientific fields, e.g., physics, chemistry, and biology, to discover governing equations ... [more] | IBISML2018-65 pp.159-166 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Comparison between Tsunami Height Prediction Methods Using Ocean-Bottom Pressure Values Kenjiro Kashiwabara (UTokyo), Yasuhiko Igarashi (UTokyo/NIMS/JST), Masashi Yoshikawa (UTokyo), Toshitaka Baba (Tokushima Univ.), Takane Hori (JAMSTEC), Masato Okada (UTokyo/NIMS) IBISML2018-66 |
[more] | IBISML2018-66 pp.167-174 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
On comparison of dynamical systems via Perron-Frobenius operators on reproducing kernel Hilbert spaces Isao Ishikawa (RIKEN/Keio Univ.), Keisuke Fujii (RIKEN), Masahiro Ikeda (RIKEN/Keio Univ.), Yuka Hashimoto (Keio Univ.), Yoshinobu Kawahara (Osaka Univ/RIKEN.) IBISML2018-67 |
The development of a metric for structural data is a long-term problem in pattern recognition and machine learning. In t... [more] | IBISML2018-67 pp.175-182 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
An Efficient Branch-and-Bound Algorithm for Submodular Function Maximization Naoya Uematsu, Shunji Umetani, Yoshinobu Kawahara (Osaka Univ./RIKEN) IBISML2018-68 |
The submodular function maximization is an attractive optimization model that appears in many real applications. Altho... [more] |
IBISML2018-68 pp.183-190 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Lattice Model Selection of Gaussian Markov Random Field Hirosato Ito, Hirotaka Sakamoto, Shun Katakami, Masato Okada (Univ. Tokyo) IBISML2018-69 |
Recently, many observed images have been obtained in various natural scientific fields. It is very important issue to e... [more] | IBISML2018-69 pp.191-196 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Selective Inference for Feature Selection after Hierarchical Clustering Kenta Suzuki, Shigenori Inoue, Yuta Umezu (NIT), Ichiro Takeuchi (NIT/NIMS/RIKEN) IBISML2018-70 |
It is important to find characteristic features behind the data from, e.g., gene expression level or customer's purchase... [more] | IBISML2018-70 pp.197-204 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Estimation of Sparse Basis Representation for Non-periodic data Shun Katakami, Hirotaka Sakamoto, Yasuhiko Igarashi, Masato Okada (Univ. Tokyo) IBISML2018-71 |
In this research, we propose a method to estimate a sparse basis representation for non-periodic data. For periodic data... [more] | IBISML2018-71 pp.205-212 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Statistical test for extracting discriminative patterns from trajectory data Takuto Sakuma (NITech), Ichiro Takeuchi (NITech/NIMS/RIKEN) IBISML2018-72 |
In this paper, we propose a statistical test method for extracting characteristic subsequences (patterns) from trajector... [more] | IBISML2018-72 pp.213-220 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Identification of Mislabeled Clinical Samples by using Iterative Discriminant Method Yuichiro Fujita, Akira Noda (Shimadzu Corp.), Kentaro Yoshimura, Sen Takeda (Univ. of Yamanashi), Shigeki Kajihara (Shimadzu Corp.) IBISML2018-73 |
We describe here an iterative discrimination (ID) method to specify the mislabeled samples mitigating the performance of... [more] | IBISML2018-73 pp.221-225 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Analysis of matrix factorization dynamics from variational Bayes solution Tomoki Tamai, Koujin Takeda (Ibaraki Univ.) IBISML2018-74 |
(Advance abstract in Japanese is available) [more] | IBISML2018-74 pp.227-231 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
In-Hospital Mortality Prediction for Trauma Patients Using Cost-Sensitive MedLDA Haruya Ishizuka, Tsukasa Ishigaki, Naoya Kobayashi, Daisuke Kudo, Atsuhiro Nakagawa (Tohoku Univ.) IBISML2018-75 |
In the field of emergency medical care, decision support systems, which support doctors’ judgements, have attracted. Acc... [more] | IBISML2018-75 pp.233-240 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Compensated Integrated Gradients for Visualization of Features Contributing to EEG Classification Kazuki Tachikawa, Yuji Kawai, Jihoon Park, Minoru Asada (Osaka Univ.) IBISML2018-76 |
Integrated gradients method has been widely employed to evaluate the degrees of contribution of input features to classi... [more] | IBISML2018-76 pp.241-247 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Realizing Large Scale Model by Integration of Stochastic Models
-- Implementation and Evaluation of Integrated Model of VAE, GMM, HMM and MLDA -- Ryo Kuniyasu, Tomoaki Nakamura, Tatsuya Aoki (UEC), Akira Taniguchi, Ryo Ozaki, Tomoro Ishimine (Ritsumeikan Univ.), Hiroki Yokoyama (Tamagawa Univ.), Tadashi Ogura (SOKENDAI), Takayuki Nagai (UEC), Tadahiro Taniguchi (Ritsumeikan Univ.) IBISML2018-77 |
In order to realize human-like intelligence artificially, large-scale cognitive models are required for robots to unders... [more] | IBISML2018-77 pp.249-254 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Normal mode selection of coherent phonons by Bayesian LARS-OLS Itsushi Sakata, Yoshihiro Nagano (UTokyo), Yasushiko Igarashi (JST), Shin Murata (UTokyo), Kohji Mizoguchi (Osaka Prefecture Univ.), Ichiro Akai (Kumamoto Univ.), Masato Okada (UTokyo) IBISML2018-78 |
Coherent phonon (CP) signals contain normal modes representing the material property and experimental artifacts. It is p... [more] | IBISML2018-78 pp.255-262 |
| 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]
Bregman monotone operator splitting and its application example Kenta Niwa (NTT), W. Bastiaan Kleijn (VUW) IBISML2018-80 |
Monotone operator splitting is a powerful paradigm that facilitates parallel processing for optimization problems where ... [more] | IBISML2018-80 pp.271-278 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Selective Inference for Dynamic Programming-based Sequence Segmentation Hiroki Toda, Yuta Umezu, Takuto Sakuma (NIT), Ichiro Takeuchi (NIT/NIMS/RIKEN) IBISML2018-81 |
Recently, a large number of sensor devices have enabled us to collect various kind of sequence data easily. Sequence seg... [more] | IBISML2018-81 pp.279-286 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Comparison of Bayes estimation and variational Bayes estimation in mixed normal distribution model Tomofumi Nakayama, Naoki Fujii (UT), Kenji Nagata (AIST/JST PRESTO), Masato Okada (UT) IBISML2018-82 |
In Gaussian Mixture Model (GMM), Bayesian estimation is one of the estimation methods, but analyti- cal calculation is d... [more] | IBISML2018-82 pp.287-292 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Nonlinear Time Series Prediction using Multi-Step Learning Echo State Networks Takanori Akiyama, Gouhei Tanaka (Tokyo Univ.) IBISML2018-83 |
Reservoir Computing (RC) has recently attracted much attention as brain-like information processing for high-speed learn... [more] | IBISML2018-83 pp.293-299 |
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