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Technical Committee on Information-Based Induction Sciences and Machine Learning (IBISML)  (Searched in: 2014)

Search Results: Keywords 'from:2014-11-17 to:2014-11-17'

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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2014-11-18
15:00
Aichi Nagoya Univ. [Poster Presentation] Tensor Regression and Classification with Latent and Scaled Latent Norms
Kishan Wimalawarne (Tokyo Inst. of Tech.), Masashi Sugiyama (Univ. of Tokyo), Ryota Tomioka (TTIC) IBISML2014-75
In this paper we study tensor based regression and classification using regularisations with tensor norms. We apply the ... [more] IBISML2014-75
pp.299-306
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
IBISML 2014-11-18
15:00
Aichi Nagoya Univ. [Poster Presentation] Infinitely exchangeable rectangular partitioning
Masahiro Nakano, Katsuhiko Ishiguro, Akisato Kimura, Takeshi Yamada, Naonori Ueda (NTT) IBISML2014-77
(Advance abstract in Japanese is available) [more] IBISML2014-77
pp.313-320
IBISML 2014-11-18
15:00
Aichi Nagoya Univ. [Poster Presentation] Enumerating all the optimal solutions of multiple travelling salesman problem by using simpath algorithm
Masashi Ogawa, Masato Inoue (Waseda Univ.) IBISML2014-78
In this manuscript, we propose an exact method which answers all the optimal solutions of "multiple traveling salesman p... [more] IBISML2014-78
pp.321-328
IBISML 2014-11-18
15:00
Aichi Nagoya Univ. [Poster Presentation] Direct Estimation of the Derivative of Quadratic Mutual Information with Application in Sufficient Dimension Reduction
Voot Tangkaratt (Tokyo Inst. of Tech.), Hiroaki Sasaki, Masashi Sugiyama (Univ. of Tokyo) IBISML2014-79
An accurate estimator of a function does not necessary mean that its derivative is an accurate estimator of the derivati... [more] IBISML2014-79
pp.329-336
IBISML 2014-11-18
15:00
Aichi Nagoya Univ. [Poster Presentation] Symbolization approach for large-scale driving corpus
Takashi Bando, Kazuhito Takenaka, Masataka Mori (DENSO), Tadahiro Taniguchi (Ritsumeikan Univ.), Chiyomi Miyajima, Kazuya Takeda (Nagoya Univ.) IBISML2014-80
This paper presents symbolization approach of large-scale driving corpus and its applicability to various ITS problems. ... [more] IBISML2014-80
pp.337-343
IBISML 2014-11-18
15:00
Aichi Nagoya Univ. [Poster Presentation] Nonlinear Regression Using Deep Learning
Wataru Uchiyama, Toshiyuki Tanaka (Kyoto Univ.) IBISML2014-81
In recent years, deep learning has been attracting a great deal of researchers' attention with its performance reported ... [more] IBISML2014-81
pp.345-349
IBISML 2014-11-18
15:00
Aichi Nagoya Univ. [Poster Presentation] Performance analysis of auto-associative neural networks on diluted modular networks
Toshiyuki Yamane (TRL), Gouhei Tanaka (Univ. Tokyo), Daiju Nakano (TRL), Ryosho Nakane (Univ. Tokyo), Yasunao Katayama (TRL) IBISML2014-82
We report the performance analysis of auto-associative neural networks on modular structures.
We focus on the sparse mo... [more]
IBISML2014-82
pp.351-356
IBISML 2014-11-18
15:00
Aichi Nagoya Univ. [Poster Presentation] A Note on Attack Against Nonlinear Combiner Generator Using Sum-Product Algorithm
Kota Kubo, Shota Saito, Akira Kamatsuka, Toshiyasu Matsushima (Waseda Univ.) IBISML2014-83
When parameters have some restrictions, we can present it on a graphical model and find the values of unknown parameters... [more] IBISML2014-83
pp.357-364
IBISML 2014-11-18
15:00
Aichi Nagoya Univ. [Poster Presentation] Time-varying activity intensity estimation with low-rank bilinear model
Keisuke Maeda, Masamichi Shimosaka (UTokyo), Kota Tsubouchi (Yahoo!JAPAN) IBISML2014-84
Human's activity intensity estimation leads to many applications, for example HEMS energy saving,
health index monitor... [more]
IBISML2014-84
pp.365-371
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