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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 # |
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 |
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