Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IBISML |
2015-03-05 13:00 |
Kyoto |
Kyoto University |
[Invited Talk]
Detection of cheating in Boltzmann machine learning
-- A parameter-free algorithm to sparse solution -- Masayuki Ohzeki (KU) IBISML2014-85 |
We generalize a mathematical model in the item response theory into that in the Boltzmann machine learning to detect “ch... [more] |
IBISML2014-85 pp.1-8 |
IBISML |
2015-03-05 14:15 |
Kyoto |
Kyoto University |
Bayes Projection of Conditional Normalized Maximum Likelihood Distributions in Poisson Model and Linear Regression Model Mutsuki Kojima, Fumiyasu Komaki (UT) IBISML2014-86 |
In the Poisson model and the linear regression model, we reveal the relations between the conditional normalized maximum... [more] |
IBISML2014-86 pp.9-15 |
IBISML |
2015-03-05 14:45 |
Kyoto |
Kyoto University |
A Behavior of Stochastic Moving Multi-Agents Futo Takiguchi, Naoki Sato, Isamu Shioya (Hosei Univ.) IBISML2014-87 |
This paper presents a new behavior of moving multi-agents,
whose agents move on cells in accordance
with transition ... [more] |
IBISML2014-87 pp.17-21 |
IBISML |
2015-03-05 15:15 |
Kyoto |
Kyoto University |
Soft-thresholding with scaling for non-parametric orthogonal regression problem Katsuyuki Hagiwara (Mie Univ.) IBISML2014-88 |
[more] |
IBISML2014-88 pp.23-30 |
IBISML |
2015-03-05 16:15 |
Kyoto |
Kyoto University |
Adaptation of Machine Learning Method for Music Structure Analysis Yoshiyuki Kushibe, Toshiaki Takita (Univ. of Tsukuba), Masatoshi Hamanaka (Kyoto Univ.), Sakurako Yazawa, Junichi Hoshino (Univ. of Tsukuba) IBISML2014-89 |
This paper describes the music structure analysis method using machine learning. Music structure analysis is to automati... [more] |
IBISML2014-89 pp.31-38 |
IBISML |
2015-03-05 16:45 |
Kyoto |
Kyoto University |
Effects of Numerical Errors against Sample Mahalanobis Distances Yasuyuki Kobayashi (Teikyo Univ.) IBISML2014-90 |
I have studied the detail conditions that the numerical errors of sample Mahalanobis distances (T^2=y^' S^(-1) y) of the... [more] |
IBISML2014-90 pp.39-46 |
IBISML |
2015-03-06 10:30 |
Kyoto |
Kyoto University |
Quality control in human-machine hybrid crowdsourcing Toshihiro Watanabe (UTokyo), Toshinari Itoko, Shin Saito, Masatomo Kobayashi, Hironobu Takagi (IBM), Hisashi Kashima (Kyoto Univ.) IBISML2014-91 |
The power of crowdsourcing has dramatically shortened the required time to create accessible content for disabled people... [more] |
IBISML2014-91 pp.47-54 |
IBISML |
2015-03-06 11:00 |
Kyoto |
Kyoto University |
Asymptotic Properties of Area Under the ROC Curve via Likelihood Ratio Based Ranking Function Kentaro Nakanishi, Toshiyuki Tanaka (Kyoto Univ.), Naonori Ueda (NTT) IBISML2014-92 |
We study properties of the area under the ROC curve, which is one of measures to evaluate performance of a binary classi... [more] |
IBISML2014-92 pp.55-62 |
IBISML |
2015-03-06 13:30 |
Kyoto |
Kyoto University |
[Invited Talk]
Applications of machine learning techniques in materials science based on systematic density-functional calculations Atsuto Seko, Isao Tanaka (KU) IBISML2014-93 |
[more] |
IBISML2014-93 p.63 |
IBISML |
2015-03-06 14:45 |
Kyoto |
Kyoto University |
An Efficient Incremental-Decremental Data Filtering Method for Stream Learning Kota Matsui, Saori Kurumi, Ichiro Takeuchi (Nitech) IBISML2014-94 |
[more] |
IBISML2014-94 pp.65-71 |
IBISML |
2015-03-06 15:15 |
Kyoto |
Kyoto University |
Recognition of daily-life actions by machine learning methods Yu Kodama, Shigeyuki Oba, Shin Ishii (Kyoto Univ.) IBISML2014-95 |
In recent years, many researchers in computer vision are interested in human action recognition, whose improvement would... [more] |
IBISML2014-95 pp.73-78 |
IBISML |
2015-03-06 15:45 |
Kyoto |
Kyoto University |
Model selection with approximate validation error guarantee for (L^2_2) regularized convex loss minimization problems Atsushi Shibagaki, Yoshiki Suzuki, Ichiro Takeuchi (NIT) IBISML2014-96 |
In this paper we propose a new algorithm that can select an approximately optimal regularization parameter in a class of... [more] |
IBISML2014-96 pp.79-86 |