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Technical Committee on Information-Based Induction Sciences and Machine Learning (IBISML) (Searched in: 2019)
Search Results: Keywords 'from:2020-03-10 to:2020-03-10'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IBISML | 2020-03-10 13:00 |
Kyoto | Kyoto University (Cancelled but technical report was issued) |
EM Algorithm for Mixture Models in Shape Analysis Kazunori Iwata (Hiroshima City Univ.)  IBISML2019-33 |
The mixture model is a well-known probabilistic model in statistical modeling to express a population that is composed o... [more] | IBISML2019-33 pp.1-7 |
| IBISML | 2020-03-10 13:25 |
Kyoto | Kyoto University (Cancelled but technical report was issued) |
Principal Component Analysis Based on the Mode Estimation Keishi Sando (Univ. of Tsukuba), Hideitsu Hino (ISM/RIKEN) IBISML2019-34 |
(To be available after the conference date) [more] | IBISML2019-34 pp.9-16 |
| IBISML | 2020-03-10 13:50 |
Kyoto | Kyoto University (Cancelled but technical report was issued) |
() IBISML2019-35 |
(To be available after the conference date) [more] | IBISML2019-35 pp.17-24 |
| IBISML | 2020-03-10 14:25 |
Kyoto | Kyoto University (Cancelled but technical report was issued) |
An Ensemble Learning for Change Point Detection in Concept Drift Khai Q. Tran, Masahiro Matsunaga (SECOM) IBISML2019-36 |
[more] | IBISML2019-36 pp.25-31 |
| IBISML | 2020-03-10 14:50 |
Kyoto | Kyoto University (Cancelled but technical report was issued) |
Electrical Power Demand Forecast of an Outdoor Sport Facility Using Binary Tree and Multiple Regression Masayuki Nishiyama, Ryohei Funaki, Junichi Murata (Kyushu Univ.) IBISML2019-37 |
(To be available after the conference date) [more] | IBISML2019-37 pp.33-35 |
| IBISML | 2020-03-10 15:25 |
Kyoto | Kyoto University (Cancelled but technical report was issued) |
Multi-modal Personal Authentication System Using CNN with Voice and Aerial Signature Shogo Takaoka, Takeshi Yoshida, Takuya Kitamura (NIT, Toyama College) IBISML2019-38 |
In this paper, we propose multi-modal personal authentication system using convolution neural network(CNN) with voice an... [more] | IBISML2019-38 pp.37-43 |
| IBISML | 2020-03-10 15:50 |
Kyoto | Kyoto University (Cancelled but technical report was issued) |
Improvement of Personal Authentication by Aerial Signature Takeshi Yoshida, Takuya Kitamura (NITT) IBISML2019-39 |
In personal authentication by aerial signature, it was confirmed that suitable feature is different by each person. Ther... [more] | IBISML2019-39 pp.45-50 |
| IBISML | 2020-03-11 09:20 |
Kyoto | Kyoto University (Cancelled but technical report was issued) |
Subspace Representation for Graphs Junki Ishikawa, Hiroaki Shiokawa, Kazuhiro Fukui (Tsukuba Univ.) IBISML2019-40 |
In this research, we discuss a representation learning for graph analysis, where a graph is represented by a low dimensi... [more] | IBISML2019-40 pp.51-57 |
| IBISML | 2020-03-11 09:45 |
Kyoto | Kyoto University (Cancelled but technical report was issued) |
Knowledge Graph Completion by Separating Transition and Score Functions Kenta Hama, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) IBISML2019-41 |
A knowledge graph is represented by a set of two entities and the relations, and used for various tasks such as informat... [more] | IBISML2019-41 pp.59-62 |
| IBISML | 2020-03-11 10:10 |
Kyoto | Kyoto University (Cancelled but technical report was issued) |
Sentence Visualization Based on Relative Sentence Embeddings Haruya Ishizuka (Bridgestone Corp.), Daichi Mochihashi (ISM) IBISML2019-42 |
Sentence visualization is important for a organization, such as company or government, since it facilitates to understan... [more] | IBISML2019-42 pp.63-70 |
| IBISML | 2020-03-11 10:45 |
Kyoto | Kyoto University (Cancelled but technical report was issued) |
Calibrated Surrogate Maximization of Linear-Fractional Utility in Binary Classification Han Bao (Univ. of Tokyo/RIKEN), Masashi Sugiyama (RIKEN/Univ. of Tokyo) IBISML2019-43 |
Complex classification performance metrics such as the F-measure and Jaccard index are often used to handle class imbala... [more] | IBISML2019-43 pp.71-78 |
| IBISML | 2020-03-11 11:10 |
Kyoto | Kyoto University (Cancelled but technical report was issued) |
Multi-cross Hinge Loss for Unbalanced Multi-class Classification Shumpei Kurora (Wakayama Univ), Hirotaka Hachiya (Wakayama Univ/RIKEN), Udai Shimada (MRI), Naonori Ueda (RIKEN) IBISML2019-44 |
[more] | IBISML2019-44 pp.79-84 |
| IBISML | 2020-03-11 11:35 |
Kyoto | Kyoto University (Cancelled but technical report was issued) |
Pre-training for Action Classification Task Using Video Frame Prediction Task Hidemoto Nakada, Hideki Asoh (AIST) IBISML2019-45 |
Continuous Video frames have strongly correlated with each other and thus include rich information that could be leverag... [more] | IBISML2019-45 pp.85-90 |
| IBISML | 2020-03-11 14:10 |
Kyoto | Kyoto University (Cancelled but technical report was issued) |
Accuracy of Brain Tumor Detection and Classification Based on Under Sampled k-Space Signals Tania Sultana, Sho Kurosaki, Yutaka Jitsumatsu, Junichi Takeuchi (Kyushu Univ.) IBISML2019-46 |
The prime concern of Magnetic Resonance Imaging (MRI) is to optimize examination time by assuring a good quality of the... [more] |
IBISML2019-46 pp.91-94 |
| IBISML | 2020-03-11 14:35 |
Kyoto | Kyoto University (Cancelled but technical report was issued) |
IBISML2019-47 |
[more] | IBISML2019-47 pp.95-100 |
| IBISML | 2020-03-11 15:10 |
Kyoto | Kyoto University (Cancelled but technical report was issued) |
Fairness Causes Vulnerability to Adversarial Attacks Koki Wataoka, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) IBISML2019-48 |
When using machine learning models in society, it is essential to be ensure classifiers are fair to race and gender. In ... [more] | IBISML2019-48 pp.101-105 |
| IBISML | 2020-03-11 15:35 |
Kyoto | Kyoto University (Cancelled but technical report was issued) |
Regret analysis of Thompson sampling using a general beta prior Yuto Kawamura, Toshiyuki Tanaka (Kyoto Univ.) IBISML2019-49 |
For Bernoulli bandits, the asymptotic optimality of Thompson sampling with the uniform prior in terms of the regret has ... [more] | IBISML2019-49 pp.107-112 |
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