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Technical Committee on Information-Based Induction Sciences and Machine Learning (IBISML)  (Searched in: 2015)

Search Results: Keywords 'from:2015-11-25 to:2015-11-25'

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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
 Results 41 - 46 of 46 [Previous]  /   
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]
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
 Results 41 - 46 of 46 [Previous]  /   
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