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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 46  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU 2022-12-16
16:15
Toyama Toyama International Conference Center
(Primary: On-site, Secondary: Online)
On partitioning of the space of one-dimensional normal distributions based on e(m)-divergence
Jun Fujiki (Fukuoka Univ.), Shotaro Akaho (AIST) PRMU2022-54
Partitioning of the space of one-dimensional normal distributions based on e(m)-divergence is useful when clustering and... [more] PRMU2022-54
pp.116-121
NLP, MICT, MBE, NC
(Joint) [detail]
2022-01-23
11:20
Online Online Towards 2-class classification via e(m)-PCA
Jun Fujiki (Fukuoka Univ.), Shotaro Akaho (AIST) NC2021-43
In many data analysis methods, observed data are treated as points in high-dimensional Euclidean space, called feature s... [more] NC2021-43
pp.55-58
IBISML 2020-01-09
13:50
Tokyo ISM Dimensionality reduction method for gaussian process posteriors based on information geometry
Hideaki Ishibashi (Kyutech), Shotaro Akaho (AIST/RIKEN) IBISML2019-20
This paper proposes an extension of principal component analysis for gaussian process posteriors which is denoted by GP-... [more] IBISML2019-20
pp.17-24
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] 2019-06-18
10:50
Okinawa Okinawa Institute of Science and Technology A sleep state analysis from calcium imaging data using non-negative matrix factorization
Mizuo Nagayama, Toshimitsu Aritake (Waseda Univ.), Hideitsu Hino (ISM), Takeshi Kanda, Takehiro Miyazaki, Masashi Yanagisawa (Univ. of Tsukuba), Shotaro Akaho (AIST), Noboru Murata (Waseda Univ.) NC2019-14 IBISML2019-12
Sleep is an essential process for the survival of animals, however, its phenomenon is poorly understood. We aim to disco... [more] NC2019-14 IBISML2019-12
pp.57-61(NC), pp.79-83(IBISML)
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2018-06-13
15:25
Okinawa Okinawa Institute of Science and Technology Current Dipole Localization from EEG with Birth-Death Process
Keita Nakamura (Waseda Univ.), Sho Sonoda (RIKEN), Hideitsu Hino (ISM), Masahiro Kawasaki (Univ. of Tsukuba), Shotaro Akaho (AIST), Noboru Murata (Waseda Univ.) IBISML2018-10
We explore the EEG source localization problem as the estimation of current dipoles. We formulate the relation between c... [more] IBISML2018-10
pp.67-74
IBISML 2018-03-05
13:25
Fukuoka Nishijin Plaza, Kyushu University Information Geometry of Modal Linear Regression
Keishi Sando (Univ. of Tsukuba), Shotaro Akaho (AIST), Noboru Murata (Waseda Univ.), Hideitsu Hino (Univ. of Tsukuba) IBISML2017-91
(To be available after the conference date) [more] IBISML2017-91
pp.7-14
IBISML 2018-03-05
16:10
Fukuoka Nishijin Plaza, Kyushu University Bootstrap Outlier Test
Hayato Watanabe (Waseda Univ.), Hideitsu Hino (Univ. of Tsukuba/RIKEN), Shotaro Akaho (AIST), Noboru Murata (Waseda Univ.) IBISML2017-94
 [more] IBISML2017-94
pp.27-33
IBISML 2017-11-09
13:00
Tokyo Univ. of Tokyo Evaluation of KL-divergence between Gaussian process posteriors by finite dimensional normal distributions
Hideaki Ishibashi, Tetsuo Furukawa (Kyutech), Shotaro Akaho (AIST) IBISML2017-55
 [more] IBISML2017-55
pp.155-160
IBISML 2017-11-10
13:00
Tokyo Univ. of Tokyo [Poster Presentation] Effect of maximum likelihood estimation after L1 regularization in learning of log-linear models
Kazuya Takabatake, Shotaro Akaho (AIST) IBISML2017-86
$L_1$ regularization has two functions.
One function is the structure learning by parameter reduction, and another func... [more]
IBISML2017-86
pp.369-375
MBE, NC
(Joint)
2016-11-19
11:35
Miyagi Tohoku University Estimation of Neural Connections from Partially Observed Spikes
Taishi Iwasaki (Waseda Univ.), Hideitsu Hino (Tsukuba Univ.), Masami Tatsuno (Lethbridge Univ.), Shotaro Akaho (AIST), Noboru Murata (Waseda Univ.) NC2016-36
Estimation of neural connections from spike data is an important problem for investigating information processing in bra... [more] NC2016-36
pp.21-26
PRMU, IPSJ-CVIM, IBISML [detail] 2016-09-06
11:45
Toyama   PRMU2016-85 IBISML2016-40 (To be available after the conference date) [more] PRMU2016-85 IBISML2016-40
pp.233-240
IBISML 2016-03-18
10:25
Tokyo Institute of Statistical Mathematics Entropy Estimator Based on Polynomial Regression with Poisson Error Structure
Hideitsu Hino (Univ. of Tsukuba), Shotaro Akaho (AIST), Noboru Murata (Waseda Univ.) IBISML2015-100
 [more] IBISML2015-100
pp.47-53
IBISML 2015-11-26
15:00
Ibaraki Epochal Tsukuba [Poster Presentation] Non-parametric e-mixture Estimation
Ken Takano (Waseda Univ.), Hideitsu Hino (Univ. of Tsukuba), Shotaro Akaho (AIST), Noboru Murata (Waseda Univ.) IBISML2015-59
Mixture modeling is one of the simplest ways to represent complicated probability density functions, and to integrate in... [more] IBISML2015-59
pp.45-52
IBISML 2015-11-26
15:00
Ibaraki Epochal Tsukuba [Poster Presentation] Information Geometry of Non-negative Matrix Factorization
Neneka Nara, Ken Takano (Waseda Univ.), Hideitsu Hino (Univ. of Tsukuba), Shotaro Akaho (AIST), Noboru Murata (Waseda Univ.) IBISML2015-60
 [more] IBISML2015-60
pp.53-59
IBISML 2015-11-26
15:00
Ibaraki Epochal Tsukuba [Poster Presentation] Full-span log-linear model with L1 reguralization and its performance
Kazuya Takabatake, Shotaro Akaho (AIST) IBISML2015-73
The full-span log-linear model is a log-linear model that has sufficient number of basis functions so that it is able to... [more] IBISML2015-73
pp.153-157
IBISML 2015-11-27
14:00
Ibaraki Epochal Tsukuba [Poster Presentation] Nonnegative matrix factorization of test scores
Atsunori Kanemura (AIST), Hiroko Onari, Manabu Shikauchi, Masataka Hashimoto (Recruit Career), Shotaro Akaho (AIST) IBISML2015-80
When assessing skills of humans or designing itemsets, having fewer number of items is cost-efficient both in time and m... [more] IBISML2015-80
pp.203-208
PRMU, IBISML, IPSJ-CVIM [detail] 2015-09-14
13:30
Ehime   Curved exponential family fitting in the space of normal distribution
Jun Fujiki, Masaru Tanaka (Fukuoka Univ.), Shotaro Akaho (AIST) PRMU2015-70 IBISML2015-30
We consider the manifold fitting to a given set of points in the space
of probability distributions.
Although only t... [more]
PRMU2015-70 IBISML2015-30
pp.19-24
IBISML 2014-11-18
15:00
Aichi Nagoya Univ. [Poster Presentation] Basis functions for fast learning of log-linear models
Kazuya Takabatake, Shotaro Akaho (AIST) IBISML2014-76
We propose basis functions for log-linear models and a fast learning algorithm that works on these bases.
These bases a... [more]
IBISML2014-76
pp.307-312
PRMU, IBISML, IPSJ-CVIM [detail] 2014-09-01
17:00
Ibaraki   Analysing the Fairness of Fairness-aware Classifiers
Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh (AIST), Jun Sakuma (Univ. of Tsukuba) PRMU2014-47 IBISML2014-28
Calders and Verwer's two-naive-Bayes is one of fairness-aware classifiers, which classify objects while excluding the in... [more] PRMU2014-47 IBISML2014-28
pp.85-92
IBISML 2013-11-12
15:45
Tokyo Tokyo Institute of Technology, Kuramae-Kaikan [Poster Presentation] Performance Comparisons between Dependency Networks and Bayesian Networks
Kazuya Takabatake, Shotaro Akaho (AIST) IBISML2013-41
Dependency networks are graphical models in which tasks of learning are done by totally local and simple algorithms of i... [more] IBISML2013-41
pp.39-44
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