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Technical Committee on Information-Based Induction Sciences and Machine Learning (IBISML)  (Searched in: 2010)

Search Results: Keywords 'from:2010-06-14 to:2010-06-14'

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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
 Results 1 - 20 of 28  /  [Next]  
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
 Results 1 - 20 of 28  /  [Next]  
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