Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
RCC, ISEC, IT, WBS |
2024-03-13 15:05 |
Osaka |
Osaka Univ. (Suita Campus) |
Efficient Replay Data Selection in Continual Federated Learning Model Yuto Kitano (Kobe Univ), Lihua Wang (NICT), Seiichi Ozawa (Kobe Univ) IT2023-96 ISEC2023-95 WBS2023-84 RCC2023-78 |
In this study, we propose a continual federated learning that can continuously learn distributed data generated daily by... [more] |
IT2023-96 ISEC2023-95 WBS2023-84 RCC2023-78 pp.135-141 |
LOIS |
2023-03-13 10:25 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Estimation method of difficulty of cases and proficiency of persons in charge of cases using amount of work until completion of each case Akinori Miyamoto, Susumu Ogata, Akira Karasudani (Fujitsu) LOIS2022-45 |
The automation of business using information technology is being developed. However, in business that cannot be fully au... [more] |
LOIS2022-45 pp.5-10 |
IBISML |
2022-09-15 14:00 |
Kanagawa |
Keio Univ. (Yagami Campus) (Primary: On-site, Secondary: Online) |
Interpretable Model Combining statements and DNN Ryo Okuda, Yuya Yoshikawa (STAIR) IBISML2022-36 |
In this study, we propose a method that achieves both interpretability of Decision Tree and the prediction accuracy of D... [more] |
IBISML2022-36 pp.25-30 |
IT |
2022-07-22 14:40 |
Okayama |
Okayama University of Science (Primary: On-site, Secondary: Online) |
Meta-Tree Set Construction for Approximate Bayes Optimal Prediction on Decision Tree Model Keito Tajima, Naoki Ichijo, Koshi Shimada, Toshiyasu Matsushima (Waseda Univ.) IT2022-27 |
Decision trees are generally used as a predictive function, but some studies use decision trees as data-generative model... [more] |
IT2022-27 pp.61-66 |
IT |
2022-07-22 15:05 |
Okayama |
Okayama University of Science (Primary: On-site, Secondary: Online) |
Bayes Optimal Approximation Algorithm by Boosting-like Construction of Meta-Tree Sets in Classification on Decision Tree Model Ryota Maniwa, Naoki Ichijo, Koshi Shimada, Toshiyasu Matsushima (Waseda Univ.) IT2022-28 |
Decision trees are used for classification and regression such as predicting the objective variable corresponding to the... [more] |
IT2022-28 pp.67-72 |
SeMI |
2022-01-21 15:20 |
Nagano |
(Primary: On-site, Secondary: Online) |
[Short Paper]
Asynchronous Gradient-Boosted Decision Trees for Distributed Sensing Devices Yui Yamashita, Akihito Taya, Yoshito Tobe (Aoyama Gakuin Univ.) SeMI2021-64 |
Recently, wearable devices that install multiple sensors have been widely used. Although sensor data from these devices ... [more] |
SeMI2021-64 pp.45-47 |
R |
2019-11-28 13:45 |
Osaka |
Central Electric Club |
A Note on Moment-Based Approximation for Uncertainty Propagation in Hierarchical Models Jiahao Zhang (Hiroshima Univ.), Junjun Zheng (Ritsumeikan Univ.), Hiroyuki Okamura, Tadashi Dohi (Hiroshima Univ.) R2019-43 |
This paper discusses an approximation method for uncertainty propagation in a hierarchical model. The uncertainty propag... [more] |
R2019-43 pp.1-6 |
IT |
2019-07-25 14:50 |
Tokyo |
NATULUCK-Iidabashi-Higashiguchi Ekimaeten |
Bayes Optimal Classification on Decision Tree Model and Its Approximative Algorithm Using Ensemble Learning Nao Dobashi, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) IT2019-17 |
In this paper we consider classification problem about discrete category $y$ regarding discrete variables $bm{x}$. Deci... [more] |
IT2019-17 pp.11-16 |
SP, IPSJ-SLP (Joint) |
2018-07-26 17:15 |
Shizuoka |
Sago-Royal-Hotel (Hamamatsu) |
Knowledge Distillation from Neural Network Based Acoustic Model based on Different Decision Tree Takashi Fukuda, Samuel Thomas (IBM) SP2018-20 |
This paper proposes a method to transfer acoustic knowledge from teacher network with a different decision tree to a stu... [more] |
SP2018-20 pp.21-24 |
IBISML |
2017-11-09 13:00 |
Tokyo |
Univ. of Tokyo |
[Poster Presentation]
Empirical Bayesian Tree Masashi Sekino (SMN) IBISML2017-39 |
We propose a new decision tree learning algorithm ``Empirical Bayesian Tree (EBT)'', which models the outputs of a leaf ... [more] |
IBISML2017-39 pp.31-38 |
KBSE |
2017-09-19 12:35 |
Tokyo |
Doshisha Univ. Tokyo Branch Office |
A load balancing mechanism using shared state for tree processing in actor model Kouhei Sakurai (Kanazawa Univ.) KBSE2017-21 |
For machine learning and data mining, there are methods that deal with tree structure, and also their parallelization an... [more] |
KBSE2017-21 pp.1-6 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2017-09-15 13:30 |
Tokyo |
|
Fast and General-Purpose Bayesian Optimization using Tree-Based Model with Gaussian Process Hiroo Iwanaga (Univ. of Tokyo/NTT DATA MSI), Yukio Ohsawa (Univ. of Tokyo) PRMU2017-48 IBISML2017-20 |
Bayesian optimization is an effective method for black-box optimization problems such as hyperparameter tuning of machin... [more] |
PRMU2017-48 IBISML2017-20 pp.67-74 |
SIS |
2016-03-10 11:30 |
Tokyo |
Tokyo City Univ. |
Arrhythmia Detection based on deformable model of ECG Yuuka Hirao, Jaehoon Yu, Yoshinori Takeuchi, Masaharu Imai (Osaka Univ.) SIS2015-52 |
In treatment for heart disease, it is important to detect arrhythmia in early stage. For this purpose,
it is necessary ... [more] |
SIS2015-52 pp.25-30 |
HCS |
2016-03-01 16:25 |
Ishikawa |
Rurikoh (Yamashiro Onsen) |
Estimation models of user's skills by using logs in Web search
-- Elderly people using tablet PC in online shopping -- Asuka Miyake, Yuji Morinishi (NTT) HCS2015-88 |
In spite of increasing Internet users especially elderly people, many conventional Web sites are not easy to use for the... [more] |
HCS2015-88 pp.35-40 |
AI |
2015-12-19 10:30 |
Okinawa |
|
A Method of Improving Generalization Ability of Alternating Decision Forests with Bootstrap Method Shotaro Misawa, Kenta Mikawa, Masayuki Goto (Waseda Univ.) AI2015-49 |
In this study, we focus on the Alternating Decision Forests (ADF) which is famous as an effective ensemble method of dec... [more] |
AI2015-49 pp.137-142 |
SS, MSS |
2014-01-31 09:30 |
Aichi |
|
Distributed Online Decison Tree Learning for Stream Data Based on Actor Model Koichi Yamamoto, Kohei Sakurai, Satoshi Yamane (Kanazawa Univ.) MSS2013-61 SS2013-58 |
Because the conventional decision tree learning algorithm is not designed for the large-scale data computing, it isn't p... [more] |
MSS2013-61 SS2013-58 pp.59-64 |
SP, IPSJ-SLP |
2013-12-19 14:25 |
Tokyo |
|
Efficient Phoneme Set Design Using Phonetic Decision Tree in Dialogue-Based English CALL Systems for Japanese Students Xiaoyun Wang (Doshisha Univ.), Jinsong Zhang (Beijing Language and Culture Univ.), Masafumi Nishida, Seiichi Yamamoto (Doshisha Univ.) SP2013-84 |
Taking consideration of the characteristics of users for dialogue-based CALL systems which aim at eliciting more speech ... [more] |
SP2013-84 pp.47-51 |
PRMU, IBISML, IPSJ-CVIM (Joint) [detail] |
2012-09-02 10:30 |
Tokyo |
|
Detecting Changes of Graph Partitioning Structures using Stochastic Decision Trees Shoichi Sato, Kenji Yamanishi (Univ. of Tokyo) PRMU2012-31 IBISML2012-14 |
We are concerned with the issue of estimating graph partitioning structures
from time series and tracking their changes... [more] |
PRMU2012-31 IBISML2012-14 pp.9-16 |
IBISML |
2012-06-19 - 2012-06-20 |
Kyoto |
Campus plaza Kyoto |
Detecting changes of graph partitioning structures Shoichi Sato, Kenji Yamanishi (Univ. of Tokyo) |
We are concerned with the issue of estimating graph partitioning structures
from time series and tracking their changes... [more] |
|
MI |
2009-01-21 09:50 |
Overseas |
National Taiwan University |
[Poster Presentation]
Computer-aided Classification of HEp-2 Cell in Indirect Immuno-fluorescence Images Yu-Lang Jao, Chen-Chang Han (Tunghai Univ.), Tsu-Yi Hsieh (Taichung Veterans General Hospital), Yu-Len Huang (Tunghai Univ.) MI2008-176 |
Indirect immuno-fluorescence (IIF) with HEp-2 cells has been used to detect antinuclear auto-antibodies (ANA) for diagno... [more] |
MI2008-176 pp.527-530 |