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 classication problems by using linear classiers. 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 |