Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IBISML |
2010-06-14 09:35 |
Tokyo |
Takeda Hall, Univ. Tokyo |
[Invited Talk]
Advances in Statistical Machine Learning
-- An Approach based on Probability Density Ratios -- Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2010-1 |
Recently, we developed a new ML framework that allows us to
systematically avoid density estimation. The key idea is t... [more] |
IBISML2010-1 p.1 |
IBISML |
2010-06-14 10:25 |
Tokyo |
Takeda Hall, Univ. Tokyo |
[Invited Talk]
All Pairs Similarity Search by Multiple Sorting Koji Tsuda (AIST) IBISML2010-2 |
Recently it is increasingly common that images and signals are mapped to bit strings called sketches.
To build a simila... [more] |
IBISML2010-2 p.3 |
IBISML |
2010-06-14 11:20 |
Tokyo |
Takeda Hall, Univ. Tokyo |
[Invited Talk]
Relational Data Mining on Causal Relations Between Variables Takashi Washio (Osaka Univ.) IBISML2010-3 |
Under development of sensing techniques to ease simultaneous measurements of many variables and features on objects, the... [more] |
IBISML2010-3 p.5 |
IBISML |
2010-06-14 13:30 |
Tokyo |
Takeda Hall, Univ. Tokyo |
[Invited Talk]
Introduction and Recent Advance of Algebraic Geometry and Learning Theory Sumio Watanabe (Tokyo Inst. of Tech.) IBISML2010-4 |
Many learning machines used in information science are singular, hence algebraic geometry is necessary to understand the... [more] |
IBISML2010-4 pp.7-14 |
IBISML |
2010-06-14 14:30 |
Tokyo |
Takeda Hall, Univ. Tokyo |
[Invited Talk]
Large-Scale String Processing: Theory and Practice Daisuke Okanohara (Preferred Infrastructure Icn.) IBISML2010-5 |
String data is used in many fields including natural language processing, genome analysis and log analysis. The sizes of... [more] |
IBISML2010-5 pp.15-22 |
IBISML |
2010-06-14 15:30 |
Tokyo |
Takeda Hall, Univ. Tokyo |
A Study on the Exact Nonlinear Regularization Path for L2 Loss Support Vector Machines Masayuki Karasuyama, Ichiro Takeuchi (Nagoya Inst. of Tech.) IBISML2010-6 |
Regularization path algorithm has been proposed for model selection
problem of Support Vector Machine (SVM).
The alg... [more] |
IBISML2010-6 pp.23-31 |
IBISML |
2010-06-14 15:45 |
Tokyo |
Takeda Hall, Univ. Tokyo |
Hierarchical Pitman-Yor Topic Model Issei Sato, Hiroshi Nakagawa (Univ. of Tokyo.) IBISML2010-7 |
(Advance abstract in Japanese is available) [more] |
IBISML2010-7 pp.33-39 |
IBISML |
2010-06-14 16:00 |
Tokyo |
Takeda Hall, Univ. Tokyo |
Orthogonalization and thresholding method for a nonparametric regression problem Katsuyuki Hagiwara (Mie Univ.) IBISML2010-8 |
For a nonparametric regression problem, we proposed a training scheme based on orthogonalization and
thresholding, in w... [more] |
IBISML2010-8 pp.41-48 |
IBISML |
2010-06-14 16:25 |
Tokyo |
Takeda Hall, Univ. Tokyo |
Privacy Preservation in Online Prediction Jun Sakuma (Univ. of Tsukuba/JST), Hiromi Arai (U. Tsukuba) IBISML2010-9 |
In this paper, we consider online prediction from expert advice in a situation where each expert observes its own loss a... [more] |
IBISML2010-9 pp.49-56 |
IBISML |
2010-06-14 16:40 |
Tokyo |
Takeda Hall, Univ. Tokyo |
Collaborative Filtering with A Bayesian Hierarchical Model Hideki Asoh (AIST) IBISML2010-10 |
(Advance abstract in Japanese is available) [more] |
IBISML2010-10 pp.57-62 |
IBISML |
2010-06-14 16:55 |
Tokyo |
Takeda Hall, Univ. Tokyo |
Customized Pricing Recommender System
-- Simple Implementation and Preliminary Experiments -- Toshihiro Kamishima, Shotaro Akaho (AIST), Jun Sakuma (Univ. of Tsukuba/JST) IBISML2010-11 |
Recommender systems suggests items that would be preferred to customers. Here, we propose to add new function, price dis... [more] |
IBISML2010-11 pp.63-69 |
IBISML |
2010-06-14 17:10 |
Tokyo |
Takeda Hall, Univ. Tokyo |
Regularized Random Forest Method for Survival Analysis Toshio Shimokawa (Yamanashi Univ.), Mitsuhiro Tsuji (Kansai Univ.) IBISML2010-12 |
One of the important themes in survival analysis is to explore prognoses factors that influence survival time. Recently,... [more] |
IBISML2010-12 pp.71-77 |
IBISML |
2010-06-14 17:25 |
Tokyo |
Takeda Hall, Univ. Tokyo |
Multifaceted Data Mining with Influence Diffusion Model Naohiro Matsumura (Osaka Univ.) IBISML2010-13 |
In this paper, we present Multifaceted Data Mining, an approach to analyzes social data from single-criteria multi-point... [more] |
IBISML2010-13 pp.79-85 |
IBISML |
2010-06-15 09:30 |
Tokyo |
Takeda Hall, Univ. Tokyo |
[Invited Talk]
Statistical Machine Learning Based on Nonparametric Bayesian Models Takaki Makino (Univ. of Tokyo.) IBISML2010-14 |
Nonparametric Bayesian models are a new approach for machine learning, involving overfitting avoidance and model selecti... [more] |
IBISML2010-14 pp.87-94 |
IBISML |
2010-06-15 10:25 |
Tokyo |
Takeda Hall, Univ. Tokyo |
[Invited Talk]
Statistical testing with large multiplicity Shigeyuki Oba (Kyoto Univ./JST) IBISML2010-15 |
Statistical hypothesis testing is a basic tool in
broad areas of scientific studies
and guarantees that an assertion... [more] |
IBISML2010-15 pp.95-102 |
IBISML |
2010-06-15 11:20 |
Tokyo |
Takeda Hall, Univ. Tokyo |
[Invited Talk]
Machine Learning in Object Recognition Keiji Yanai (Univ. of Electro-Comm.) IBISML2010-16 |
(Advance abstract in Japanese is available) [more] |
IBISML2010-16 pp.103-112 |
IBISML |
2010-06-15 13:30 |
Tokyo |
Takeda Hall, Univ. Tokyo |
[Invited Talk]
Recent Developments in Markov-chain Monte Carlo Method Koji Hukushima (Univ. of Tokyo.) IBISML2010-17 |
(Advance abstract in Japanese is available) [more] |
IBISML2010-17 pp.113-118 |
IBISML |
2010-06-15 14:30 |
Tokyo |
Takeda Hall, Univ. Tokyo |
Inference of Multiple Absorbtion Bands for Reflectance Spectra Using Exchange Monte Carlo Method Kenji Nagata, Seiji Sugita (Univ. of Tokyo), Masato Okada (Univ. of Tokyo/RIKEN) IBISML2010-18 |
(Advance abstract in Japanese is available) [more] |
IBISML2010-18 pp.119-124 |
IBISML |
2010-06-15 14:45 |
Tokyo |
Takeda Hall, Univ. Tokyo |
Efficient estimation of phase response curves using a data transformation Ken Nakae (SOKENDAI) IBISML2010-19 |
Recent studies show that synchronization between neurons is essential to understand brain functions. To analyze the sync... [more] |
IBISML2010-19 pp.125-129 |
IBISML |
2010-06-15 15:10 |
Tokyo |
Takeda Hall, Univ. Tokyo |
Generalization of TD-learning from a Semiparametric Statistical Viewpoint Tsuyoshi Ueno, Shin-ichi Maeda (Kyoto Univ.), Motoaki Kawanabe (Fraunhofer First), Shin Ishii (Kyoto Univ.) IBISML2010-20 |
(Advance abstract in Japanese is available) [more] |
IBISML2010-20 pp.131-138 |