IEICE Technical Committee Submission System
Conference Schedule
Online Proceedings
[Sign in]
Tech. Rep. Archives
    [Japanese] / [English] 
( Committee/Place/Topics  ) --Press->
 
( Paper Keywords:  /  Column:Title Auth. Affi. Abst. Keyword ) --Press->

Technical Committee on Information-Based Induction Sciences and Machine Learning (IBISML)  (Searched in: 2012)

Search Results: Keywords 'from:2013-03-04 to:2013-03-04'

[Go to Official IBISML Homepage] 
Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
 Results 1 - 17 of 17  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2013-03-04
14:15
Aichi Nagoya Institute of Technology Passive-Aggressive Algorithm with Bias
Daigo Tateishi, Kohei Hatano, Eiji Takimoto (Kyushu Univ.) IBISML2012-93
We consider online binary classi cation problems by using linear classi ers. Among online learning
algorithms for linea... [more]
IBISML2012-93
pp.1-8
IBISML 2013-03-04
14:40
Aichi Nagoya Institute of Technology On Variational Free Energy of Normal Mixtures with General Dirichlet Distribution
Fumito Nakamura, Sumio Watanabe (Tokyo Inst. of Tech.) IBISML2012-94
 [more] IBISML2012-94
pp.9-16
IBISML 2013-03-04
15:05
Aichi Nagoya Institute of Technology Model-Based Policy Gradients with Parameter-Based Exploration by Least-Squares Conditional Density Estimation
Syogo Mori, Voot Tangkaratt, Tingting Zhao (Tokyo Inst. of Tech.), Jun Morimoto (ATR), Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2012-95
(To be available after the conference date) [more] IBISML2012-95
pp.17-24
IBISML 2013-03-04
15:45
Aichi Nagoya Institute of Technology Task graphs for machine learning algorithms
Sayaka Akioka, Yoichi Muraoka, Hayato Yamana (Waseda Univ.) IBISML2012-96
Applications to process a massive amount of data, so-called \big data analysis", is one of the recent hot requirements, ... [more] IBISML2012-96
pp.25-30
IBISML 2013-03-04
16:10
Aichi Nagoya Institute of Technology An Application of Minimum Description Length Criterion to the Model Selection of Discrete Mixture Models
Yasuaki Akazawa, Masato Inoue (Waseda Univ.) IBISML2012-97
Minimum description length (MDL) is an information criterion which estimates the optimal complexity of a stochastic mode... [more] IBISML2012-97
pp.31-38
IBISML 2013-03-04
16:35
Aichi Nagoya Institute of Technology Dual Averaging and Proximal Gradient Descent for Online Alternating Direction Multiplier Method
Taiji Suzuki (Univ. of Tokyo) IBISML2012-98
 [more] IBISML2012-98
pp.39-46
IBISML 2013-03-05
09:55
Aichi Nagoya Institute of Technology A Privacy Preserving Distributed Calculation Method of Maximum A Posteriori Estimator for Linear Regression Models
Akito Nakai, Tota Suko, Toshiyasu Matsushima (Waseda Univ.) IBISML2012-99
In this paper, we study a privacy preserving linear regression analysis. In the past, some protocols of distributed calc... [more] IBISML2012-99
pp.47-54
IBISML 2013-03-05
10:20
Aichi Nagoya Institute of Technology An evaluation of the performance on decoding spread spectrum digital watermarking against collusion attack.
Kouji Yamauchi, Masato Inoue (Waseda Univ.) IBISML2012-100
 [more] IBISML2012-100
pp.55-60
IBISML 2013-03-05
11:00
Aichi Nagoya Institute of Technology Non-Achievability of Asymptotic Minimax Regret without Knowledge of the Sample Size
Kazuho Watanabe (NAIST), Teemu Roos, Petri Myllymaki (Helsinki Inst. for Information Tech.) IBISML2012-101
The normalized maximum likelihood (NML) model achieves the minimax regret for coding data of fixed sample size $n$. It i... [more] IBISML2012-101
pp.61-67
IBISML 2013-03-05
11:25
Aichi Nagoya Institute of Technology Elimination of redundant features by Kernel Methods and Random Matrix Theory
Hideko Kawakubo, Hiroaki Yoshida (Ochanomizu Univ) IBISML2012-102
Feature selection can be used to detect factors that affect a certain phenomenon. If the subset of the selected factors ... [more] IBISML2012-102
pp.69-76
IBISML 2013-03-05
13:00
Aichi Nagoya Institute of Technology [Invited Talk] Meta-heuristics
Mutsunori Yagiura (Nagoya Univ.) IBISML2012-103
 [more] IBISML2012-103
p.77
IBISML 2013-03-05
14:10
Aichi Nagoya Institute of Technology Constrained Least-Squares Density-Difference Estimation
Tuan Duong Nguyen, Marthinus Christoffel du Plessis (Tokyo Inst. of Tech.), Takafumi Kanamori (Nagoya Univ.), Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2012-104
We address the problem of estimating the difference between two probability densities. A naive approach is a two-step pr... [more] IBISML2012-104
pp.79-86
IBISML 2013-03-05
14:35
Aichi Nagoya Institute of Technology *
Yusuke Kishi, Takuma Nakamura, Tatsuhiro Harada, Takashi Matsumoto (Waseda Univ.) IBISML2012-105
Infinite Hidden Markov Random Fields have been proposed for image segmentation as a solution to the problem of automatic... [more] IBISML2012-105
pp.87-94
IBISML 2013-03-05
15:00
Aichi Nagoya Institute of Technology Evaluation of the limit performance of single frame super-resolution
Masanori Kawakita, Kouratarou Yamaguchi, Norikazu Takahashi, Jun'ichi Takeuchi (Kyushu Univ.) IBISML2012-106
We elucidate the potential limit of single-frame super-resolution by
information theory. A single-frame super-resoluti... [more]
IBISML2012-106
pp.95-100
IBISML 2013-03-05
15:40
Aichi Nagoya Institute of Technology Hierarchical Multi-label Classification on Statistical Decision Theory
Kiyohito Yamamoto, Tota Suko, Toshiyasu Matsushima (Waseda Univ.) IBISML2012-107
This paper considers multi-label classification on statistical decision theory. In Label Power Set format, multi-label c... [more] IBISML2012-107
pp.101-106
IBISML 2013-03-05
16:05
Aichi Nagoya Institute of Technology Computing pathwise SVMs by Using Non-Support Vector Screening
Kohei Ogawa, Yoshiki Suzuki, Ichiro Takeuchi (Nagoya Inst. of Tech.) IBISML2012-108
In this paper, we claim that some of the non-support vectors (non-SVs) that have no influence on the classifier can be s... [more] IBISML2012-108
pp.107-114
IBISML 2013-03-05
16:30
Aichi Nagoya Institute of Technology Similarity adaptation for label propagation based on local linear reconstruction
Masayuki Karasuyama, Hiroshi Mamitsuka (Kyoto Univ.) IBISML2012-109
Label propagation is one of the state-of-the-art methods for semi-supervised
learning,
which estimates labels by pro... [more]
IBISML2012-109
pp.115-121
 Results 1 - 17 of 17  /   
Choose a download format for default settings. [NEW !!]
Text format pLaTeX format CSV format BibTeX format
Copyright and reproduction : All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan