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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IBISML |
2022-03-08 10:00 |
Online |
Online |
Estimating average causal effect of intervention in continuous variables using machine learning Yoshiaki Kitazawa (MSI) IBISML2021-30 |
The most widely discussed methods for estimating the Average Causal Effect / Average Treatment Effect are those for inte... [more] |
IBISML2021-30 pp.1-7 |
ICSS, IPSJ-SPT |
2022-03-08 13:40 |
Online |
Online |
A study of a decentralized reputation-based trust evaluation system Iifan Tyou (NTT), Takahito Tanabe, Akinori Matsuo (msi) ICSS2021-78 |
In order to evaluate the reputation of an unknown party, such as a new purchase or new contact, it is common to collect ... [more] |
ICSS2021-78 pp.117-122 |
ICSS, IPSJ-SPT |
2022-03-08 15:10 |
Online |
Online |
Simulation of security notification by ISP to malware-infected users Xuping Huang (AIIT/YNU), Shunsuke Mochizuki (NTT Data Mathematical Systems Inc), Akira Fujita (NICT/YNU), Katsunari Yoshioka (YNU) ICSS2021-82 |
(To be available after the conference date) [more] |
ICSS2021-82 pp.141-146 |
AI |
2019-02-22 15:10 |
Tokyo |
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Active Inference of Variable Labels Using Annotation to Some Variable Labels in Data Jackets Hiroo Iwanaga (UTokyo/NTT DATA MSI), Teruaki Hayashi, Yukio Ohsawa (UTokyo) AI2018-44 |
Data Jacket (DJ) is a framework for sharing summaries of the data and encouraging collaboration and utilization of data ... [more] |
AI2018-44 pp.39-44 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2017-09-15 13:30 |
Tokyo |
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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 |
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