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Technical Committee on Information-Based Induction Sciences and Machine Learning (IBISML) (Searched in: 2015)
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Search Results: Keywords 'from:2015-11-25 to:2015-11-25'
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[Go to Official IBISML Homepage] |
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 |
2015-11-27 14:00 |
Ibaraki |
Epochal Tsukuba |
[Poster Presentation]
Non-parametric tensor learning with Gaussian process prior and its application to multi-task learning Heishiro Kanagawa, Taiji Suzuki (Titech) IBISML2015-89 |
低ランクテンソル推定は複数のデータソース間の高次の関係性を学習する方法として,マルチタスク学習,
推薦システム,時空間解析など様々な問題に応用されている.低ランクテンソルを推定する代表的な手法として,線
形のモデルを仮定した凸最適化に基... [more] |
IBISML2015-89 pp.273-280 |
IBISML |
2015-11-27 14:00 |
Ibaraki |
Epochal Tsukuba |
[Poster Presentation]
A Parallel MRI using SENSE and Wavelet tree sparsity Yufu Kasahara, Masato Inoue (Waseda Univ), Kaori Togashi (Kyoto Univ) IBISML2015-90 |
[more] |
IBISML2015-90 pp.281-284 |
IBISML |
2015-11-27 14:00 |
Ibaraki |
Epochal Tsukuba |
[Poster Presentation]
Adaptive Objective Function of ICA by Gaussian Approximation in Second-Order Polynomial Feature Space Yoshitatsu Matsuda, Kazunori Yamaguchi (Univ. of Tokyo) IBISML2015-91 |
In this paper, we propose an objective function of ICA with adaptive estimation of the kurtoses of
sources. It is deriv... [more] |
IBISML2015-91 pp.285-292 |
IBISML |
2015-11-27 14:00 |
Ibaraki |
Epochal Tsukuba |
[Poster Presentation]
L1 regularization for ordinal regression problem Kazuhisa Nagashima, Masato Inoue (Waseda Univ.) IBISML2015-92 |
[more] |
IBISML2015-92 pp.293-297 |
IBISML |
2015-11-27 14:00 |
Ibaraki |
Epochal Tsukuba |
[Poster Presentation]
Local Kernel Dimensional Reduction in Approximate Bayesian Computation Jin Zhou (SOKENDAI), Kenji Fukumizu (ISM) |
[more] |
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IBISML |
2015-11-27 14:00 |
Ibaraki |
Epochal Tsukuba |
[Poster Presentation]
An Efficient Accelerated Proximal Gradient Method for Unified Binary Classification Model Naoki Ito, Akiko Takeda (UTokyo), Kim-Chuan Toh (NUS) IBISML2015-93 |
In this paper, we develop an efficient general optimization algorithm for a unified formulation of various binary classi... [more] |
IBISML2015-93 pp.299-303 |
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