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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 7 of 7  /   
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   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
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Variational Approximation Accuracy in Non-negative Matrix Factorization
Naoki Hayashi (MSI) IBISML2018-51
The asymptotic behavior of the variational free energy of the non-negative matrix factorization (NMF) has been elucidate... [more] IBISML2018-51
pp.53-60
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
IBISML 2017-03-07
11:30
Tokyo Tokyo Institute of Technology A stochastic optimization method and generalization bounds for voting classifiers by continuous density functions
Atsushi Nitanda (Tokyo Tech./NTTDATA MSI), Taiji Suzuki (Tokyo Tech./JST/RIKEN) IBISML2016-108
We consider a learning method for the majority vote classifier by probability measure on continuously parametrized space... [more] IBISML2016-108
pp.63-69
 Results 1 - 7 of 7  /   
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