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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'

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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
 Results 41 - 60 of 61 [Previous]  /  [Next]  
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
 Results 41 - 60 of 61 [Previous]  /  [Next]  
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