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All Technical Committee Conferences  (Searched in: All Years)

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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 4 of 4  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIP, CAS, MSS, VLD 2017-06-20
11:00
Niigata Niigata University, Ikarashi Campus On Contributions of Principal Eigenfunctions of Covariance Operator of Kernel Feature Vectors to Relevant Information in Nonlinear Regression
Masahiro Yukawa (Keio Univ.), Klaus-Robert Muller (TU BerlinTechnical U) CAS2017-16 VLD2017-19 SIP2017-40 MSS2017-16
We study, through simple non-asymptotic arguments, the contributions of eigenfunctions of the covariance operator of ker... [more] CAS2017-16 VLD2017-19 SIP2017-40 MSS2017-16
pp.81-85
IBISML 2016-11-17
14:00
Kyoto Kyoto Univ. [Poster Presentation] Estimating Proton Conductivity in Crystals by using Guassian Process and Dynamic Programming
Kenta Kanamori (NITech), Kazuaki Toyoura (Kyoto Univ.), Shinichi Nakajima (TU Berlin), Atsuto Seko (Kyoto Univ.), Masayuki Karasuyama (NITech), Akihide Kuwabara (JFCC), Junya Honda (Tokyo Univ.), Kazuki Shitara (JFCC), Motoki Shiga (Gifu Univ.), Ichiro Takeuchi (NITech) IBISML2016-73
In material science, $proton conductivity$ is very important property for designing new battery and it is defined as max... [more] IBISML2016-73
pp.191-198
IBISML 2014-11-17
17:00
Aichi Nagoya Univ. [Poster Presentation] Theoretical Analysis of Empirical MAP and Empirical Partially Bayes
Shinichi Nakajima (TU Berlin), Masashi Sugiyama (Univ. of Tokyo) IBISML2014-38
Variational Bayesian (VB) learning is known to be a
promising
approximation to Bayesian learning
with computational... [more]
IBISML2014-38
pp.25-32
IBISML 2014-11-18
15:00
Aichi Nagoya Univ. [Poster Presentation] Asymptotic Analysis of Variational Bayesian Latent Dirichlet Allocation
Shinichi Nakajima (TU Berlin), Issei Sato, Masashi Sugiyama (Univ. of Tokyo), Kazuho Watanabe (Toyohashi Univ. of Tech.), Hiroko Kobayashi (Nikon) IBISML2014-64
Latent Dirichlet allocation (LDA) is a popular generative model
of various objects such as texts and images,
where an ... [more]
IBISML2014-64
pp.219-226
 Results 1 - 4 of 4  /   
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