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Technical Committee on Information-Based Induction Sciences and Machine Learning (IBISML)  (Searched in: 2014)

Search Results: Keywords 'from:2015-03-05 to:2015-03-05'

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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
 Results 1 - 12 of 12  /   
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
 Results 1 - 12 of 12  /   
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