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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 6 of 6  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
HCS 2020-01-26
10:30		 Oita Room407, J:COM HorutoHall OITA (Oita) Acquisition of Function Words That Represent Dialogue Acts -- Constructing a Hybrid Model of Automatic and Deliberate Processing --
Akane Matsushima, Natsuki Oka, Chie Fukada (Kyoto Institute of Technology), Yuko Yoshimura (Kanazawa Univ.), Koji Kawahara (Nagoya University of Foreign Studies) HCS2019-70		 (To be available after the conference date) [more] HCS2019-70
pp.93-98
IBISML 2018-11-05
15:10		 Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Hyperparameter distribution estimation for binary images with the exchange Monte Carlo method
Koki Obinata, Shun Katakami, Yue Yonghao, Masato Okada (UTokyo) IBISML2018-79		 We estimate the distribution of hyperparameters corresponding to the coupling constant and noise in- tensity from an Isi... [more] IBISML2018-79
pp.263-270
AI 2018-08-27
15:50		 Osaka   Bayesian Inference for Field of Physical Quantity from Data obtained at several Locations
Masato Ota, Takeshi Okadome (KG Univ.) AI2018-23		 This paper proposes a novel method for estimating the physical quantity at every location (physical quan- tity field) fr... [more] AI2018-23
pp.55-60
IBISML 2016-11-16
15:00		 Kyoto Kyoto Univ. Inference of Classical Spin Model by Multidimensional Multiple Histogram Method
Hikaru Takenaka (UTokyo), Kenji Nagata (UTokyo/AIST/JST), Takashi Mizokawa (Waseda Univ.), Masato Okada (UTokyo/RIKEN) IBISML2016-61		 We propose a novel method for effective Bayesian inference of classical spin model by the multidimensional multiple hist... [more] IBISML2016-61
pp.109-116
NC, MBE
(Joint)		 2014-03-18
13:00		 Tokyo Tamagawa University Model selection of NiGa_2S_4 triangular lattice by Bayesian estimation
Hikaru Takenaka, Kenji Nagata, Takashi Mizokawa (Univ. of Tokyo), Masato Okada (Univ. of Tokyo/RIKEN) NC2013-107		 The superexchange interaction, which favors parallel or anti-parallel alignment of electron spins in magnets, has an imp... [more] NC2013-107
pp.109-114
NC 2007-03-14
09:30		 Tokyo Tamagawa University On the Two Kullback Divergences in Approximating Bayesian Posterior Distributions
Kazuho Watanabe, Sumio Watanabe (Tokyo Inst. of Tech.) 		Some methods have been proposed and used for approximating Bayesian learning.Although they have provided efficient learn... [more] NC2006-134
pp.97-102
 Results 1 - 6 of 6  /   
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