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]
Asymptotic Evaluation of Classification in the Presence of Generalized Label Noise Goki Yasuda, Tota Suko, Manabu Kobayashi, Toshiyasu Matsushima (Waseda Univ.) IBISML2018-84 |
In classification problem, there are many cases where noise is added to the label. Learning in these cases is called lea... [more] |
IBISML2018-84 pp.301-306 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
Detecting Unlabeled Class by Intentional Clustering using Disentangled Representation Tomoki Fukuma, Fuijo Toriumi (Tokyo Univ.) IBISML2018-85 |
Clustering is ill-defined problem.What you pay attention differs the result coming from clustering and sometimes there a... [more] |
IBISML2018-85 pp.307-312 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
Differential Privacy for Likelihood Ratio Test Arashi Haishima (Univ. of Tsukuba), Jun Sakuma (Univ. of Tsukuba/RIKEN) IBISML2018-86 |
Likelihood ratio test of logistic regression commonly used when testing whether an attribute of data significantly influ... [more] |
IBISML2018-86 pp.313-320 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
IBISML2018-87 |
A learning algorithm to perform sparse estimation method can estimate effective parameters of a polynomial regression mo... [more] |
IBISML2018-87 pp.321-328 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
Regularized Modal Regression via Iteratively Reweighted Least-Squares Ryoya Yamasaki, Toshiyuki Tanaka (Kyoto Univ.) IBISML2018-88 |
In modal regression, iterative methods that are based on the modal EM (MEM) and those based on the iteratively reweighte... [more] |
IBISML2018-88 pp.329-335 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
Bayesian Hamiltonian Selection in X-ray Photoelectron Spectroscopy Yoh-ichi Mototake (univ of Tokyo), Masaichiro Mizumaki (JASRI), Ichiro Akai (Kumamoto Univ), Masato Okada (univ of Tokyo) IBISML2018-89 |
(Advance abstract in Japanese is available) [more] |
IBISML2018-89 pp.337-344 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
Tensor decomposition based unsupervised feature extraction applied to bioinformatics Y-h. Taguchi (Chuo Univ.) IBISML2018-90 |
Although supervised and reinforcement learning including deap learning performs excellent achievements, it is not applic... [more] |
IBISML2018-90 pp.345-352 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
Algorithms for Checking Existence of a Bad Arm Utilizing Asymmetry Koji Tabata, Atsuyoshi Nakamura, Tamiki Komatsuzaki (Hokkaido Univ.) IBISML2018-91 |
We study a problem called a bad arm existence checking problem in which, given two thresholds $theta_L$ and $theta_U$ ($... [more] |
IBISML2018-91 pp.353-360 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
Classification Algorithms for Generalized Label Noise Model with Unknown Parameter Tota Suko, Goki Yasuda, Shunsuke Horii, Manabu Kobayashi (Waseda Univ) IBISML2018-92 |
In classification problem, there is a case where noise is added to the label. The generalized label noise model is a mod... [more] |
IBISML2018-92 pp.361-366 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
Analysis of Empirical Bayes Estimation for Three Parameter Group Lasso Tsukasa Yoshida, Kazuho Watanabe (Toyohashi Tech) IBISML2018-93 |
As sparse estimation methods, Lasso and Group Lasso are often used for wide applications. It is necessary for successful... [more] |
IBISML2018-93 pp.367-372 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
Active learning for identifying local minimum points based on the derivative of Gaussian process Yu Inatsu (RIKEN), Daisuke Sugita (NITech), Kazuaki Toyoura (Kyoto Univ.), Ichiro Takeuchi (NITech/RIKEN/NIMS) IBISML2018-94 |
In many fields such as materials science, knowing local minimum points of unknown functions is important for understand... [more] |
IBISML2018-94 pp.373-380 |
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 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
Recommendation for Market Places using Non-negative Matrix Factorization and MDL Priciple Yosuke Arano (Kyushu Univ.), Yusuke Miyake (GMO Pepabo), Masanori Kawakita, Junichi Takeuchi (Kyushu Univ.) IBISML2018-96 |
We apply the rank selection method for non-negative matrix factorization (NMF) based on
MDL criterion which was propose... [more] |
IBISML2018-96 pp.389-395 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
A Note on the Estimation Method of Causality Effects based on Statistical Decision Theory Shunsuke Horii, Tota Suko (Waseda Univ.) IBISML2018-97 |
In this paper, we deal with the problem of estimating the intervention effect in statistical causal analysis using struc... [more] |
IBISML2018-97 pp.397-402 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
Sparse modeling of extended X-ray absorption fine structures (EXAFS) through Bayesian LARS-OLS Yasuhiko Igarashi (JST), Kazunori Iwamitsu (Kumamoto U.), Toshihiro Okajima (Kyushu LRC), Ichiro Akai (Kumamoto U.), Masato Okada (Univ. Tokyo) IBISML2018-98 |
(Advance abstract in Japanese is available) [more] |
IBISML2018-98 pp.403-410 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
3D-Skeleton-Based Human Action Recognition with a Combination of Random Convolutional Networks and Echo State Networks Zhiqiang Tong, Gouhei Tanaka (Univ. of Tokyo) IBISML2018-99 |
Recognition of human action patterns from sequential data has been intensively studied in recent years. Although many ma... [more] |
IBISML2018-99 pp.411-417 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
A Self-Organization Model Developing Higher Order Units by Self-Test Learning Akira Date, Shunsuke Hanai (Univ. of Miyazaki) IBISML2018-100 |
We have carried out computer simulation studies of a self-organizing network Geman-Davis model in which the number of un... [more] |
IBISML2018-100 pp.419-424 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
Transfer Learning Among Time Series Data Hao Niu, Kei Yonekawa, Mori Kurokawa, Arei Kobayashi (KDDI Research) IBISML2018-101 |
Time series data are widely used in various fields, and the machine learning on the time series data attracts much resea... [more] |
IBISML2018-101 pp.425-428 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
Revising the Algorithm of Ensenble Learning by an Index of Complementarity among Weak Learners Shota Utsumi, Keisuke Kameyama (Univ. of Tsukuba) IBISML2018-102 |
In ensemble learning, the performance of each weak learner and their acquisition of complementary functions affects the ... [more] |
IBISML2018-102 pp.429-434 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
Kei Yonekawa, Hao Niu, Mori Kurokawa, Arei Kobayashi (KDDI Research) IBISML2018-103 |
(Advance abstract in Japanese is available) [more] |
IBISML2018-103 pp.435-440 |