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Technical Committee on Information-Based Induction Sciences and Machine Learning (IBISML) (Searched in: 2012)
Search Results: Keywords 'from:2012-06-19 to:2012-06-19'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IBISML | 2012-06-19 - 2012-06-20 |
Kyoto | Campus plaza Kyoto | Detecting changes of graph partitioning structures Shoichi Sato, Kenji Yamanishi (Univ. of Tokyo) |
We are concerned with the issue of estimating graph partitioning structures from time series and tracking their changes... [more] |
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| IBISML | 2012-06-19 10:00 |
Kyoto | Campus plaza Kyoto | A study on an optimization algorithm for semi-supervised SVM using parametric programing Kohei Ogawa, Ichiro Takeuchi (NIT), Masashi Sugiyama (Tokyo Tech)  IBISML2012-1 |
The goal of semi-supervised learning is to incorporate unlabeled instances as well as labeled ones for improving classif... [more] | IBISML2012-1 pp.1-8 |
| IBISML | 2012-06-19 10:30 |
Kyoto | Campus plaza Kyoto | Learning Non-Linear Classifiers with a Sparsity Upper-Bound via Efficient Model Selection Mathieu Blondel, Kazuhiro Seki, Kuniaki Uehara (Kobe Univ.) IBISML2012-2 |
Support Vector Machines, when combined with kernels, achieve state-of-the-art accuracy on many datasets. However, their... [more] |
IBISML2012-2 pp.9-14 |
| IBISML | 2012-06-19 11:00 |
Kyoto | Campus plaza Kyoto | Online Prediction under Submodular Constraints Daiki Suehiro, Kohei Hatano, Shuji Kijima, Eiji Takimoto (Kyushu Univ.), Kiyohito Nagano (Tokyo Univ.) IBISML2012-3 |
[more] | IBISML2012-3 pp.15-22 |
| IBISML | 2012-06-19 11:30 |
Kyoto | Campus plaza Kyoto | Improving the Variable Setting of Softmax Selection From an Information-Theoretic Viewpoint Kazunori Iwata (Hiroshima City Univ.) IBISML2012-4 |
We focus on softmax selection which is the most popular description of the policy for action selection in reinforcement ... [more] | IBISML2012-4 pp.23-30 |
| IBISML | 2012-06-19 13:20 |
Kyoto | Campus plaza Kyoto | [Invited Talk]
* Hayato Kobayashi (Toshiba) |
[more] | |
| IBISML | 2012-06-19 14:25 |
Kyoto | Campus plaza Kyoto | [Invited Talk]
* Makoto Onizuka (NTT) |
[more] | |
| IBISML | 2012-06-19 15:30 |
Kyoto | Campus plaza Kyoto | Detection of Earthquake-Induced Damage in Steel Structures By Applying Classification Algorithms to Changes in Vibration Characteristics Mayako Yamaguchi, Masahiro Kurata (Kyoto Univ.) IBISML2012-5 |
A capability to quickly assess the structural integrity of buildings following large earthquakes contributes greatly to ... [more] | IBISML2012-5 pp.31-34 |
| IBISML | 2012-06-19 16:00 |
Kyoto | Campus plaza Kyoto | Topic Extraction Method by Semi-Supervised Latent Dirichlet Allocation for Real-Time Recommendation Yasuhiro Ikeda, Ryoichi Kawahara, Hiroshi Saito (NTT) IBISML2012-6 |
Probabilistic topic models for unsupervised learning have been attracting attention as technology of analyzing user's i... [more] |
IBISML2012-6 pp.35-40 |
| IBISML | 2012-06-19 16:30 |
Kyoto | Campus plaza Kyoto | Locality-Sensitive Hashing With Margin Based Feature Selection Makiko Konoshima (FJLAB) IBISML2012-7 |
[more] | IBISML2012-7 pp.41-47 |
| IBISML | 2012-06-20 10:30 |
Kyoto | Campus plaza Kyoto | Density Difference Estimation Masashi Sugiyama (Tokyo Inst. of Tech.), Takafumi Kanamori (Nagoya Univ.), Taiji Suzuki (Univ. of Tokyo), Marthinus Christoffel du Plessis, Song Liu (Tokyo Inst. of Tech.), Ichiro Takeuchi (Nagoya Inst. of Tech.) IBISML2012-8 |
We address the problem of estimating the difference between two probability densities. A naive approach is a two-ste... [more] |
IBISML2012-8 pp.49-56 |
| IBISML | 2012-06-20 11:00 |
Kyoto | Campus plaza Kyoto | On a Non-asymptotic Analysis Using Large Deviation Principles in the Multiarmed Bandit Problem Junya Honda, Akimichi Takemura (Univ. of Tokyo) IBISML2012-10 |
In reinforcement learning a tradeoff between exploration and exploitation is considered. Multiarmed bandit problems for... [more] |
IBISML2012-10 pp.65-72 |
| IBISML | 2012-06-20 11:30 |
Kyoto | Campus plaza Kyoto | Accuracy of the Bayes Latent Variable Estimation from Mixture of Complete and Incomplete Data Keisuke Yamazaki (Tokyo Tech) IBISML2012-11 |
(To be available after the conference date) [more] | IBISML2012-11 pp.73-77 |
| IBISML | 2012-06-20 13:20 |
Kyoto | Campus plaza Kyoto | [Invited Talk]
* Tomohisa Okada (Kyoto Univ.) |
[more] | |
| IBISML | 2012-06-20 14:20 |
Kyoto | Campus plaza Kyoto | Winning the Kaggle Algorithmic Trading Challenge with the Composition of Many Models and Feature Engineering Ildefons Magrans de Abril, Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2012-12 |
This paper presents the ideas and methods of the winning solution for the Kaggle Algorithmic Trading Challenge. This an... [more] | IBISML2012-12 pp.79-84 |
| IBISML | 2012-06-20 14:50 |
Kyoto | Campus plaza Kyoto | An MDL-based Change-Detection Algorithm for Piecewise Stationay Memoryless Sources with Multi-dimensional Parameter Hiroki Kanazawa, Kenji Yamanishi (Univ. of Tokyo) IBISML2012-9 |
Kleinberg has proposed an algorithm for detecting bursts from a data sequence, which has turned out to be effective in t... [more] | IBISML2012-9 pp.57-64 |
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