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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 #
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2022-06-28
15:50
Okinawa
(Primary: On-site, Secondary: Online)
Causal Discovery in Discrete Data Using NML Code Length Based on MDL Principle
Masatoshi Kobayashi, Nishimoto Hiroki, Shin Mastushima (Todai) NC2022-21 IBISML2022-21
Inference on the causal structure among random variables from only a finite number of observed data is one of the most i... [more] NC2022-21 IBISML2022-21
pp.149-155
NLP 2019-05-10
13:50
Oita J:COM HoltoHALL OITA Structure estimation of a neural network using Inter-spike-interval
Kazuya Sawada (TUS), Yutaka Shimada (Saitama Univ.), Ikeguchi Tohru (TUS) NLP2019-3
In this paper, we apply the causal estimation method of Convergent Cross Mapping to a mathematical model of neural netwo... [more] NLP2019-3
pp.13-18
IA, IN
(Joint)
2018-12-13
14:45
Hiroshima Hiroshima Univ. Towards application of network topology information to network log causal anlaysis
Satoru Kobayashi (NII), Kazuki Otomo (Univ. Tokyo), Kensuke Fukuda (NII) IA2018-40
To detect root causes of failures in large-scale networks, we need to extract contextual information from operational da... [more] IA2018-40
pp.1-8
CAS, NLP 2018-10-18
14:15
Miyagi Tohoku Univ. Estimation accuracy of causal relation on difference in network structures
Kazuya Sawada (TUS), Yutaka Shimada (Saitama Univ.), Tohru Ikeguchi (TUS) CAS2018-43 NLP2018-78
In this paper, we applied Convergent Cross Mapping to estimate causal relations between multiple timeseries. We used a c... [more] CAS2018-43 NLP2018-78
pp.33-38
IBISML 2016-11-16
15:00
Kyoto Kyoto Univ. Additive Model Decomposition with Global Sparse Structure for Multi-task Granger Causal Estimation
Hitoshi Abe, Jun Sakuma (Univ. Tsukuba) IBISML2016-56
Causality estimation is one of the key issues in time-series data analysis.
Granger causality is widely known as a form... [more]
IBISML2016-56
pp.73-79
IBISML 2011-11-10
15:45
Nara Nara Womens Univ. A Method for Estimating Binary Data Generating Process
Takanori Inazumi, Takashi Washio, Shohei Shimizu, Joe Suzuki (Osaka Univ.), Akihiro Yamamoto (Kyoto Univ.), Yoshinobu Kawahara (Osaka Univ.) IBISML2011-65
In our previous study, we proposed a method to identify a data generation process governing its given binary data set. H... [more] IBISML2011-65
pp.155-162
NC, MBE
(Joint)
2011-03-08
14:35
Tokyo Tamagawa University Improved Granger causality tests for network structure estimation from time-series data
Hikaru Harima, Shigeyuki Oba, Shin Ishii (Kyoto Univ.) NC2010-178
Granger causality and its variants have been proposed for estimating network structure as a causality graph based on cor... [more] NC2010-178
pp.301-306
 Results 1 - 7 of 7  /   
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